1128 Sftp Jobs - Page 42

Network Engineer Experience: 7 - 12 Years Location: Pune/Mumbai Job description Play a Subject Matter Expert (SME) role on network security technologies Strong understanding of Routing, Switching, Wireless, F5 load balancer technology. Deep and strong understanding of firewall (Layer-2 and Layer-3), DNS, SSL VPN, multi-factor authentication and IPS technologies. Ability to implement and support complex Network & Network Security architectures involving but not limited to the above listed technologies. Strong experience on Cisco Next generation firewall Maintaining various firewalls, virtual private networks, iWAN, F5 Load balancers. Maintain various switches, routers and wireless environments. Understanding of commonly used protocols and services (e.g. SSL, TCP/UDP, HTTP, FTP/SFTP, NTP, Telnet, NFS, SSH, LDAP, etc.) Good understanding of routing technologies including OSPF, BGP, GRE Tunnel and IPSEC VPNs with the ability to design and troubleshoot complex enterprise network infrastructure. Good conceptual understanding of Switching & F5 load balancers. Expertise on packet capturing and deep packet analysis Experience working on process-oriented organizations involving incident, change, problem and configuration management process. Ability to analyze problems and perform Root Cause Analyses as and when required. Leading the projects Project reviews, project meetings and project delivery, Leading Technology upgrade programs Show more Show less

Candidates with minimum 5 years of experience in integration based developments and configurations Good hands-on experience on SAP Cloud Platform Integration and API Management Experience in integration of multiple SAP and non-SAP systems Expertise in handling integrations using SFSF, ODATA, SFTP, IDOC, SOAP, HTTP, Process Direct, REST Adapters. Should have experience in handling different data conversions like json to xml, csv to xml etc. Should have experience in using various CPI pallet options (Integration patterns – Message transformations, Enricher, splitter, etc.) Should have knowledge in handling security artifacts, encryption and decryption mechanisms. A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organization’s financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Location of posting - Infosys Ltd. is committed to ensuring you have the best experience throughout your journey with us. We currently have open positions in a number of locations across India - Bangalore, Pune, Hyderabad, Chennai, Chandigarh, Trivandrum, Indore, Nagpur, Mangalore, Noida, Bhubaneswar, Coimbatore, Mumbai, Jaipur, Vizag, Mysore, Kolkata, Hubli. While we work in accordance with business requirements, we shall strive to offer you the location of your choice, where possible. 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

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