733 Rollback Jobs - Page 28

Senior Technical Architect – Machine Learning Solutions We are looking for a Senior Technical Architect with deep expertise in Machine Learning (ML), Artificial Intelligence (AI) , and scalable ML system design . This role will focus on leading the end-to-end architecture of advanced ML-driven platforms, delivering impactful, production-grade AI solutions across the enterprise. Key Responsibilities Lead the architecture and design of enterprise-grade ML platforms , including data pipelines, model training pipelines, model inference services, and monitoring frameworks. Architect and optimize ML lifecycle management systems (MLOps) to support scalable, reproducible, and secure deployment of ML models in production. Design and implement retrieval-augmented generation (RAG) systems, vector databases , semantic search , and LLM orchestration frameworks (e.g., LangChain, Autogen). Define and enforce best practices in model development, versioning, CI/CD pipelines , model drift detection, retraining, and rollback mechanisms. Build robust pipelines for data ingestion, preprocessing, feature engineering , and model training at scale , using batch and real-time streaming architectures. Architect multi-modal ML solutions involving NLP, computer vision, time-series, or structured data use cases. Collaborate with data scientists, ML engineers, DevOps, and product teams to convert research prototypes into scalable production services . Implement observability for ML models including custom metrics, performance monitoring, and explainability (XAI) tooling. Evaluate and integrate third-party LLMs (e.g., OpenAI, Claude, Cohere) or open-source models (e.g., LLaMA, Mistral) as part of intelligent application design. Create architectural blueprints and reference implementations for LLM APIs, model hosting, fine-tuning, and embedding pipelines . Guide the selection of compute frameworks (GPUs, TPUs), model serving frameworks (e.g., TorchServe, Triton, BentoML) , and scalable inference strategies (batch, real-time, streaming). Drive AI governance and responsible AI practices including auditability, compliance, bias mitigation, and data protection. Stay up to date on the latest developments in ML frameworks, foundation models, model compression, distillation, and efficient inference . Ability to coach and lead technical teams , fostering growth, knowledge sharing, and technical excellence in AI/ML domains. Experience managing the technical roadmap for AI-powered products , documentations ensuring timely delivery, performance optimization, and stakeholder alignment. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 8+ years of experience in software architecture , with 5+ years focused specifically on machine learning systems and 2 years in leading team. Proven expertise in designing and deploying ML systems at scale , across cloud and hybrid environments. Strong hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face, Scikit-learn). Experience with vector databases (e.g., FAISS, Pinecone, Weaviate, Qdrant) and embedding models (e.g., SBERT, OpenAI, Cohere). Demonstrated proficiency in MLOps tools and platforms : MLflow, Kubeflow, SageMaker, Vertex AI, DataBricks, Airflow, etc. In-depth knowledge of cloud AI/ML services on AWS, Azure, or GCP – including certification(s) in one or more platforms. Experience with containerization and orchestration (Docker, Kubernetes) for model packaging and deployment. Ability to design LLM-based systems , including hybrid models (open-source + proprietary), fine-tuning strategies, and prompt engineering. Solid understanding of security, compliance , and AI risk management in ML deployments. Preferred Skills Experience with AutoML , hyperparameter tuning, model selection, and experiment tracking. Knowledge of LLM tuning techniques : LoRA, PEFT, quantization, distillation, and RLHF. Knowledge of privacy-preserving ML techniques , federated learning, and homomorphic encryption Familiarity with zero-shot, few-shot learning , and retrieval-enhanced inference pipelines. Contributions to open-source ML tools or libraries. Experience deploying AI copilots, agents, or assistants using orchestration frameworks. What We Offer Joining QX Global Group means becoming part of a creative team where you can personally grow and contribute to our collective goals. We offer competitive salaries, comprehensive benefits, and a supportive environment that values work-life balance. Work Model Location: Ahmedabad Model: WFO Shift Timings: 12:30PM-10PM IST / 1:30PM -11PM IST Show more Show less

Position Senior Security Engineer - IOT Experience Job Description: 6–10 years of relevant experience in system security, embedded systems, and vulnerability assessments. Key Skills Firmware Analysis Tools: Expertise in using firmware analysis tools such as Ghidra, Binwalk, and Radare2 for static and dynamic analysis of firmware images. Embedded Linux Platforms: In-depth knowledge of embedded Linux, Yocto, and OpenWRT platforms for secure firmware and OS testing. Secure Boot & Firmware Update Mechanisms: Proficiency in testing secure boot processes and firmware update mechanisms, ensuring integrity and authenticity. OS Hardening & Security Configurations: Strong understanding of OS hardening techniques and security configurations to mitigate threats and enhance system integrity. Vulnerability Assessment & CVE Analysis: Extensive experience with vulnerability assessment frameworks and CVE analysis, identifying and addressing security vulnerabilities in embedded systems. Debugging & Emulation Tools: Proficient in using debugging tools and emulators such as QEMU to analyze embedded system behavior. SBOM & Secure Update Protocols: Familiarity with SBOM (Software Bill of Materials), patch management, and secure update protocols to ensure safe software deployments. Firmware Reverse Engineering: Expertise in performing reverse engineering of firmware images to detect vulnerabilities and potential exploits. Penetration Testing Frameworks: Experience using penetration testing frameworks like Metasploit, Kali Linux, and custom tools for system vulnerability testing. Custom Test Case Development: Ability to develop and execute custom test cases to simulate real-world attack scenarios and identify potential risks in embedded systems. Leadership & Mentoring: Strong leadership skills with a proven track record of mentoring junior engineers and guiding teams in advanced security testing methodologies. Technical Writing & Reporting: Excellent technical writing skills, including the ability to produce clear, concise, and detailed reports on security findings and risk assessments. Proactive Security Risk Mitigation: Proactive in identifying and mitigating security risks within embedded systems, ensuring the implementation of security best practices. Responsibilities Leadership in Security Testing: Lead system-level Vulnerability Assessment and Penetration Testing (VAPT) for firmware, operating systems, and embedded software, ensuring thorough security evaluations. Test Plan Development & Execution: Develop and implement comprehensive test plans for secure update and patch validation, ensuring security fixes are applied correctly and without introducing new risks. Firmware Static & Dynamic Analysis: Conduct detailed static and dynamic analysis of firmware images using tools like Ghidra, Binwalk, and Radare2 to identify potential vulnerabilities. Secure Boot & Root of Trust Validation: Validate secure boot implementations and hardware root of trust to ensure system integrity and protection from malicious code injection. OS Hardening & Access Control Testing: Test OS hardening configurations and secure access control mechanisms to strengthen system defenses against unauthorized access and exploitation. Vulnerability Identification & Classification: Identify and classify vulnerabilities and misconfigurations in embedded systems, following industry standards such as CVSS for risk assessment and remediation prioritization. Collaboration with Compliance & Engineering: Work closely with compliance and engineering teams to prioritize remediation efforts, ensuring that vulnerabilities are addressed effectively. Custom Attack Simulations: Develop and execute custom test cases to simulate real-world attack scenarios and evaluate the system's resilience against cyber threats. Rollback & Patch Management Testing: Oversee testing of rollback and patch management procedures, ensuring that system updates do not compromise security or functionality. Mentoring & Knowledge Sharing: Mentor junior engineers in security testing methodologies, sharing knowledge on advanced techniques and tools for improving system security testing processes. CVE Monitoring & Testing Updates: Monitor relevant CVE feeds, integrating new vulnerabilities and security patches into testing procedures to ensure up-to-date protection. Reporting & Risk Assessments: Provide detailed technical reports and risk assessments to stakeholders, outlining identified vulnerabilities, potential impact, and recommended mitigations. Regulatory Compliance: Ensure that all testing activities align with industry standards, including RED 18031 compliance, and adhere to relevant regulatory frameworks. Secure Lab Environment Maintenance: Maintain a secure lab environment for all system testing activities, ensuring that testing procedures are conducted in a controlled and isolated setting. Qualifications & Certifications Education: Bachelor's or Master’s degree in Cybersecurity, Embedded Systems, Computer Engineering, or a related field. Certifications (Preferred): OSCP (Offensive Security Certified Professional) OSCE (Offensive Security Certified Expert) GXPN (GIAC Exploit Researcher and Advanced Penetration Tester) Equivalent certifications in ethical hacking, penetration testing, or embedded system security are also highly valued. Industry Standards Familiarity: Familiarity with security frameworks such as ISO/IEC 62443, RED 18031, and IoT security frameworks. Why Join Us? Opportunity to work with cutting-edge automation technologies in a collaborative and innovative environment. Competitive salary and benefits package. Career growth opportunities in a fast-paced and dynamic industry. A strong focus on work-life balance and employee well-being. Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type Full time Job Category Engineering Services Show more Show less

Description RESPONSIBILITIES Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment (including LLMs, vectorDB, embedding and reranking models, governance and observability systems, and guardrails). Provision and manage AI infrastructure across cloud hyperscalers (AWS/GCP), using infrastructure-as-code tools -strong preference for Terraform-. Maintain containerized environments (Docker, Kubernetes) optimized for GPU workloads and distributed compute. Support vector database, feature store, and embedding store deployments (e.g., pgVector, Pinecone, Redis, Featureform. MongoDB Atlas, etc). Monitor and optimize performance, availability, and cost of AI workloads, using observability tools (e.g., Prometheus, Grafana, Datadog, or managed cloud offerings). Collaborate with data scientists, AI/ML engineers, and other members of the platform team to ensure smooth transitions from experimentation to production. Implement security best practices including secrets management, model access control, data encryption, and audit logging for AI pipelines. Help support the deployment and orchestration of agentic AI systems (LangChain, LangGraph, CrewAI, Copilot Studio, AgentSpace, etc.). Must Haves: 4+ years of DevOps or infrastructure engineering experience. Preferably with 2+ years in AI/ML environments. Hands-on experience with cloud-native services (AWS Bedrock/SageMaker, GCP Vertex AI, or Azure ML) and GPU infrastructure management. Strong skills in CI/CD tools (GitHub Actions, ArgoCD, Jenkins) and configuration management (Ansible, Helm, etc.). Proficient in scripting languages like Python, Bash, -Go or similar is a nice plus-. Experience with monitoring, logging, and alerting systems for AI/ML workloads. Deep understanding of Kubernetes and container lifecycle management. Bonus Attributes: Exposure to MLOps tooling such as MLflow, Kubeflow, SageMaker Pipelines, or Vertex Pipelines. Familiarity with prompt engineering, model fine-tuning, and inference serving. Experience with secure AI deployment and compliance frameworks Knowledge of model versioning, drift detection, and scalable rollback strategies. Abilities: Ability to work with a high level of initiative, accuracy, and attention to detail. Ability to prioritize multiple assignments effectively. Ability to meet established deadlines. Ability to successfully, efficiently, and professionally interact with staff and customers. Excellent organization skills. Critical thinking ability ranging from moderately to highly complex. Flexibility in meeting the business needs of the customer and the company. Ability to work creatively and independently with latitude and minimal supervision. Ability to utilize experience and judgment in accomplishing assigned goals. Experience in navigating organizational structure. Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 13.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: DBT, GCP, DWH, Data Modelling, Data Governance, data quality, data monitoring, Cost Management, Multi Cloud Forbes Advisor is Looking for: Company Description Forbes Advisor, part of the Forbes Marketplace family, provides consumers with expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions. We empower our audience with data-driven knowledge so they can make informed choices confidently—balancing the agility of a startup with the stability of a seasoned enterprise Role Overview The Senior Data Architect is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution Job Description Key Responsibilities Strategic Data Architecture & Pipeline Leadership Vision & Strategy: ○Define and execute the long-term strategy for our data warehousing platform using medallion architecture (Bronze, Silver, Gold layers) and modern cloud-based solutions. End-to-End Pipeline Oversight: ○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA, APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via BigQuery]), and reporting, ensuring that our pipelines are robust and scalable. Data Modeling Best Practices: ○Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Data Quality, Governance & Attribution Quality & Validation: ○Establish and enforce rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Standardization & Visibility: ○Collaborate with the Data Engineering, Insights and BIOps team to standardize data definitions (including engagement metrics and revenue attribution) and ensure consistency across all reports. Attribution Focus: ○Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. ○Ensure accurate attribution of revenue and paid marketing channel performance, working closely with SEM and Digital Experiences teams. Monitoring & Alerting: ○Implement robust monitoring and alerting systems (e.g., Slack and email notifications) to quickly identify, diagnose, and resolve data pipeline issues. Team Leadership & Cross-Functional Collaboration People & Process: ○Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Stakeholder Engagement: ○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives. ○Serve as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance, ensuring that business requirements drive technical solutions. Communication: ○Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Operational Excellence & Process Improvement Deployment & QA: ○Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Continuous Optimization: ○Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Legacy to Cloud Transition: ○Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Innovation & Thought Leadership Emerging Trends: ○Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Pilot Projects: ○Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Executive Representation: ○Represent the data warehousing function in senior leadership discussions and strategic planning sessions Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 15+ years of experience in data engineering, warehousing, or analytics roles, with at least 5+ years in a leadership capacity. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Technical Expertise Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. Leadership & Communication Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment. Perks & Benefits Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month. If you are a visionary leader with a passion for building resilient data infrastructures, a deep understanding of revenue attribution and paid marketing channels, and a proven ability to drive strategic business outcomes through data, we invite you to join our Data & Analytics team and shape the future of our data warehousing function. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less