1042 Sftp Jobs - Page 39

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

Key Skills & Qualifications: Must-Have: • 3–5 years of hands-on experience with SAP SuccessFactors (at least two modules and two full-cycle implementations). • Proven experience integrating SuccessFactors with: • NetSuite ERP • ADP Global Payroll • Procurement systems • CRM platforms • Strong understanding of HR and payroll processes, data structures, and compliance requirements. • Familiarity with integration protocols: REST, SOAP, SFTP, OData. • Strong experience with XML, JSON, SuccessFactors API (OData/CompoundEmployee) and integration mapping. Show more Show less

About the Role: We are hiring for a candidate with experience in C language should have a solid understanding of programming concepts, system-level programming, and application development. Candidates must be analytical, possess an aptitude for learning and exploring/implementing libs, and be able to communicate clearly and effectively. You’ll be Responsible for? Develop, test, and maintain software applications, libraries and modules using the C programming language. Write efficient, maintainable, and scalable code. Optimize existing C code for performance and memory management. Use debugging tools like GDB, Valgrind, or others to troubleshoot, identify, and resolve software bugs and performance issues. Perform memory leak detection and other performance optimizations. Participate in designing efficient, modular, and reusable C-based solutions. Write unit tests and integration tests for C-based applications. Conduct code reviews and ensure adherence to best practices and coding standards. Participate in continuous integration (CI) processes and code testing cycles. Work closely with internal, cross-functional teams (including IT/System, QA, and product teams) to deliver software solutions. Document code, design decisions, and implementation details for maintenance and future development. Maintain existing codebase by fixing bugs, implementing updates, and improving performance. Perform regular code refactoring to improve code quality. Maintain codebase repo versioning. You’d have? 4+ years of experience in C, C++ language programming & development. Graduate Engineer in IT / CS. Any C certification shall be preferred. Deep knowledge of C syntax, memory management, data structures, algorithms, GCC. Experience with pointers, dynamic memory allocation, file handling, regex, sftp, etc in C. Experience in using system / static / dynamic libraries linking & implementing in C. Good understanding of operating system internals, such as processes, threads, scheduling, and memory management. Experience with multi-threading and synchronization mechanisms in C. Strong debugging skills using tools like GDB, and experience with profiling tools to analyse performance bottlenecks. Proficient in using Git, SVN, or other version control systems. Ability to break down complex problems into smaller tasks and implement optimal solutions. Strong communication and interpersonal skills to collaborate with team members and stakeholders. Why join us? Impactful Work : Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry. Tremendous Growth Opportunities : Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development. Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated. Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com Show more Show less

Summary Position Summary At Deloitte, we take immense pride in the dynamic and innovative environment we have cultivated. Our people are our greatest asset, and we are dedicated to fostering a culture of growth, innovation, collaboration, and excellence. We are thrilled to announce that we are expanding our team and are seeking passionate, talented individuals to join us on this exciting journey ROLE Level: Consultant As a Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work product within due timelines in agile framework. On requirement basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. The work you will do includes: Develop software solutions using industry standard delivery methodologies like Agile, Waterfall across different architectural patterns Develop expertise in end-to-end construction cycle starting from Design (low level and high level), coding, unit testing, deployment and defect fixing along with coordinating with multiple stakeholders Write clean, efficient, and well-documented code maintaining industry and client standards ensuring code quality and code coverage adherence Generate design document and formulate non-functional requirements Perform independent code reviews and execute unit tests on integration modules developed by self and other junior team members on the project Ability to quickly learn and deliver on analogous technologies with limited or no prior experience Good interpersonal and communication skills Qualifications Skills / Project Experience: 4 to 6 years of experience as Integration Developer using webMethods and integration technologies. Must Have: Strong conceptual knowledge of: webMethods architecture and runtime for versions 9.x and 10.x and Integration technologies. Knowledge of Integration concepts, security and various protocols HTTPs, SOAP, Rest, SFTP, MQ, JMS and familiarity with ESB, SOA. Experience in working on wM Integration Server, scheduler and configuration. Strong Experience in developing Flow services, file handling and error handling. Experience on e-standards such as EDI, EDIINT, papiNET, SWIFT, HL7, HIPAA, FIX, and RosettaNet etc. Experience on implementation of wM Adapters like JDBC, SAP, Salesforce and others. Experience of working in Universal Messaging, triggers, queues, topic etc. Knowledge on webMethods BPM and development of workflow/process models, handling of tasks, correlation. Experience in B2B implementations and working with wMTN package, MWS setup for partner configuration etc. Hands on experience in developing common components like Error Handling and Logging framework. Extensive Experience in a Scrum/Agile SDLC. Ability to write build/configuration scripts using build tools (Ant, Maven and scripting) and code configuration tools (Subversion, Github, Perforce etc.) Ability to drive and do Unit Testing, Debugging, End-to-End and Integration testing. Knowledge of integration patterns, ESB, SOA design principles, API Development, standards, guidelines, and best practices. Ability to communicate clearly across teams in the project Skills / Project Experience - good to have: Industry recognized Technology Certifications. Experience on other Integration Tools/Products. Experience of working at Client/Onsite. 3 - 6 years of hands-on experience in Experience in event handling and content-based routing, message transformation and message mediation Extensive experience and knowledge of XML Technologies (XML, DTD, XSLT transformations, XSD and Style sheet etc.) Considerable experience in SOAP and REST webservices and utilizing the APIs Understanding of Canonical message modeling, build based on TDD, Integration specialization Exposure to analysis design and development of high-level architecture of the application Experience in unit testing the applications using SOAP-UI/Postman Experience in . Experience in Experience in Experience in Ability to perform estimation of work products Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries Knowledge and experience working with Microsoft Office tools Good to Have: Understanding of Experience in Experience with Experience in test support for System Intergration Testing and E2E Testing. Experience in Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 3 – 6 years of experience working with Webmethods Location: Hyderabad/Bengaluru The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com For information on CBO visit - https://www.youtube.com/watch?v=L1cGlScLuX0 For information on life of an Analyst at CBO visit- https://www.youtube.com/watch?v=CMe0DkmMQHI Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300111 Show more Show less