Data Engineering Manager Jobs in Atlanta, GA
Data Engineering Manager jobs in Atlanta are concentrated in Midtown, Buckhead, and the Cumberland/Galleria corridor, with strong demand across fintech, enterprise software, and healthcare technology. Employers actively hiring include Amazon, GHD, and UCB. Scan the live roles below and apply to whichever ones fit.
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Make your mark for patients
The role owns the lifecycle of commercial data products from design and delivery through adoption, operation, enhancement, and retirement. Responsibilities include establishing standards for data quality, data contracts, lineage, observability, testing, governance, and operational support. The position also defines and enables enterprise-aligned semantic models, certified business definitions, and reusable data products that support reporting, analytics, machine learning, AI, and future agent-enabled capabilities.
What you’ll do
- Own the lifecycle of Commercial data products from onboarding through retirement.
- Define product ownership, consumer needs, data contracts, quality standards, service levels, and roadmaps.
- Drive adoption of certified, reusable data products across reporting, analytics, AI, and business teams.
- Lead the Commercial Data Engineering team responsible for data onboarding, integration, transformation, publishing, and production support.
- Define engineering standards across the NextGen platform, including architecture, data quality, lineage, security, testing, and operational readiness.
- Deliver scalable Azure and Databricks solutions using modern engineering practices, automation, and reusable frameworks.
- Establish enterprise-aligned semantic models, reusable business definitions, and certified metrics that support analytics, reporting, and AI solutions.
- Ensure interoperability between Databricks, Fabric, Snowflake, Power BI, and future enterprise platforms.
Commercial Data Domain Leadership
- Serve as the technology lead for Commercial data domains including customer, HCP/HCO, claims, payer, specialty pharmacy, patient services, omnichannel, territory, and master data.
- Partner with business stakeholders, Data Management, Data Governance, and external vendors to ensure trusted, compliant, and fit-for-purpose commercial data assets.
- Oversee onboarding, lifecycle management, quality, and operational support of internal and third-party commercial data sources.
- Drive standardization and reuse of commercial data assets and data products across Reporting, Analytics, AI, and Commercial Operations teams.
- Ensure the reliability, performance, observability, and cost efficiency of Commercial data products and pipelines.
- Lead incident, problem, change, and release management while driving automation and continuous improvement.
- Establish support models, operational runbooks, service-level expectations, and build-to-run governance.
- Enable trusted data products for Machine Learning, RAG, Databricks Genie, copilots, agents, and future AI capabilities.
- Partner with AI and Data Science teams to support feature engineering, retrieval pipelines, model inputs, and operational requirements.
- Ensure AI solutions leverage governed, secure, traceable, and high-quality data assets.
- Lead internal teams and delivery partners while building long-term organizational capability.
- Own the Commercial Data Engineering and Data Product roadmap, balancing business priorities, platform modernization, reliability, and future AI enablement.
Interested? For this role we’re looking for the following education, experience and skills
- Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Data Engineering, or a related field, or equivalent practical experience.
- 10+ years of progressive data engineering or cloud data platform experience, including technical leadership of complex enterprise delivery and operations.
- Prior experience in pharmaceuticals, life sciences, healthcare, or another regulated industry.
- Prior experience across commercial data domains such as claims, HCP/customer, payer, patient services, specialty pharmacy, omnichannel, territory, or master data.
- Hands-on experience with Azure and Databricks (or AWS/ Google Cloud), including Python, SQL, Spark, Delta Lake or lakehouse patterns, orchestration, performance tuning, and production troubleshooting
- Experience delivering trusted data products for Power BI/Fabric, advanced analytics, machine learning, RAG, copilots, or agent-enabled applications.
- Experience designing scalable ETL/ELT pipelines, metadata-driven ingestion, reusable transformation frameworks, and automated data-quality controls.
- Demonstrated data product experience, including product definition, ownership, consumer alignment, data contracts, quality and service measures, roadmap management, adoption, and lifecycle decisions.
- Experience with Unity Catalog or comparable governance capabilities, including access controls, metadata, lineage, classification, and environment promotion.
- Experience with Git-based development, CI/CD, release controls, automated testing, observability, and incident management.
- Working knowledge of AI/ML and GenAI data requirements, including features, RAG or vector data, model and agent integration, telemetry, security, and supportability.
- Experience leading engineers and third-party partners and communicating technical risks and tradeoffs to business and senior stakeholders.
Preferred:
- Experience delivering trusted data products for Power BI/Fabric, advanced analytics, machine learning, RAG, copilots, or agent-enabled applications.
This positions reasonably anticipated base salary range is $148,000 - $194,000. The actual salary offered will take into account related knowledge, skills, experience and location among other factors and may fall outside the expected range.
Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you!
About us
UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9.000 people in all four corners of the globe, inspired by patients and driven by science.
Why work with us?
At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential.
At UCB, we’ve embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless explicitly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office.
UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.
Make your mark for patients
The role owns the lifecycle of commercial data products from design and delivery through adoption, operation, enhancement, and retirement. Responsibilities include establishing standards for data quality, data contracts, lineage, observability, testing, governance, and operational support. The position also defines and enables enterprise-aligned semantic models, certified business definitions, and reusable data products that support reporting, analytics, machine learning, AI, and future agent-enabled capabilities.
What you’ll do
- Own the lifecycle of Commercial data products from onboarding through retirement.
- Define product ownership, consumer needs, data contracts, quality standards, service levels, and roadmaps.
- Drive adoption of certified, reusable data products across reporting, analytics, AI, and business teams.
- Lead the Commercial Data Engineering team responsible for data onboarding, integration, transformation, publishing, and production support.
- Define engineering standards across the NextGen platform, including architecture, data quality, lineage, security, testing, and operational readiness.
- Deliver scalable Azure and Databricks solutions using modern engineering practices, automation, and reusable frameworks.
- Establish enterprise-aligned semantic models, reusable business definitions, and certified metrics that support analytics, reporting, and AI solutions.
- Ensure interoperability between Databricks, Fabric, Snowflake, Power BI, and future enterprise platforms.
Commercial Data Domain Leadership
- Serve as the technology lead for Commercial data domains including customer, HCP/HCO, claims, payer, specialty pharmacy, patient services, omnichannel, territory, and master data.
- Partner with business stakeholders, Data Management, Data Governance, and external vendors to ensure trusted, compliant, and fit-for-purpose commercial data assets.
- Oversee onboarding, lifecycle management, quality, and operational support of internal and third-party commercial data sources.
- Drive standardization and reuse of commercial data assets and data products across Reporting, Analytics, AI, and Commercial Operations teams.
- Ensure the reliability, performance, observability, and cost efficiency of Commercial data products and pipelines.
- Lead incident, problem, change, and release management while driving automation and continuous improvement.
- Establish support models, operational runbooks, service-level expectations, and build-to-run governance.
- Enable trusted data products for Machine Learning, RAG, Databricks Genie, copilots, agents, and future AI capabilities.
- Partner with AI and Data Science teams to support feature engineering, retrieval pipelines, model inputs, and operational requirements.
- Ensure AI solutions leverage governed, secure, traceable, and high-quality data assets.
- Lead internal teams and delivery partners while building long-term organizational capability.
- Own the Commercial Data Engineering and Data Product roadmap, balancing business priorities, platform modernization, reliability, and future AI enablement.
Interested? For this role we’re looking for the following education, experience and skills
- Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Data Engineering, or a related field, or equivalent practical experience.
- 10+ years of progressive data engineering or cloud data platform experience, including technical leadership of complex enterprise delivery and operations.
- Prior experience in pharmaceuticals, life sciences, healthcare, or another regulated industry.
- Prior experience across commercial data domains such as claims, HCP/customer, payer, patient services, specialty pharmacy, omnichannel, territory, or master data.
- Hands-on experience with Azure and Databricks (or AWS/ Google Cloud), including Python, SQL, Spark, Delta Lake or lakehouse patterns, orchestration, performance tuning, and production troubleshooting
- Experience delivering trusted data products for Power BI/Fabric, advanced analytics, machine learning, RAG, copilots, or agent-enabled applications.
- Experience designing scalable ETL/ELT pipelines, metadata-driven ingestion, reusable transformation frameworks, and automated data-quality controls.
- Demonstrated data product experience, including product definition, ownership, consumer alignment, data contracts, quality and service measures, roadmap management, adoption, and lifecycle decisions.
- Experience with Unity Catalog or comparable governance capabilities, including access controls, metadata, lineage, classification, and environment promotion.
- Experience with Git-based development, CI/CD, release controls, automated testing, observability, and incident management.
- Working knowledge of AI/ML and GenAI data requirements, including features, RAG or vector data, model and agent integration, telemetry, security, and supportability.
- Experience leading engineers and third-party partners and communicating technical risks and tradeoffs to business and senior stakeholders.
Preferred:
- Experience delivering trusted data products for Power BI/Fabric, advanced analytics, machine learning, RAG, copilots, or agent-enabled applications.
This positions reasonably anticipated base salary range is $148,000 - $194,000. The actual salary offered will take into account related knowledge, skills, experience and location among other factors and may fall outside the expected range.
Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you!
About us
UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9.000 people in all four corners of the globe, inspired by patients and driven by science.
Why work with us?
At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential.
At UCB, we’ve embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless explicitly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office.
UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.
See All 21 Data Engineering Manager Jobs in Atlanta
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Find Data Engineering Manager JobsData Engineering Manager Job Market in Atlanta
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
Data Engineering Manager Jobs in Atlanta: Frequently Asked Questions
How do I get a data engineering manager job in Atlanta?
Target Atlanta's fintech corridor and the health tech employers clustered around Midtown and Buckhead, where demand for data engineering leaders runs consistently high. Demonstrating hands-on experience with cloud platforms and pipeline orchestration gives candidates an edge in this market. Networking through Atlanta's active tech meetup scene and connecting directly with hiring managers at local growth-stage companies also accelerates the process significantly.
Which companies hire data engineering managers in Atlanta?
Companies currently hiring data engineering managers in Atlanta include Amazon, GHD, and UCB, per current listings on Migrate Mate as of November 2026. Atlanta's employer mix leans toward established financial services firms, large healthcare systems, and fast-growing SaaS companies that have made the city a regional technology hub.
Are there remote data engineering manager jobs in Atlanta?
Yes, though remote availability is moderate for this role since data engineering managers often oversee distributed teams and collaborate closely with stakeholders on-site. About 83% of data engineering manager openings tied to Atlanta are remote or hybrid as of November 2026, with hybrid arrangements being the more common offering. Strategic and leadership responsibilities tend to be the most remote-friendly components of the role in Atlanta.
How can I get a data engineering manager job in Atlanta with little or no experience?
The most realistic entry path in Atlanta is moving into a senior data engineer or tech lead role at one of the city's mid-size fintech or healthcare analytics companies, then stepping into a manager title from within. Atlanta employers like regional banks, insurance carriers, and growth-stage SaaS firms regularly promote strong individual contributors into people-management tracks. Building familiarity with Spark, Databricks, or dbt and volunteering to lead sprint planning or mentoring junior engineers significantly strengthens a promotion case.
Which industries hire the most data engineering managers in Atlanta?
The sectors hiring the most data engineering managers in Atlanta are Technology & Software and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. Atlanta's position as a payments and fintech capital, combined with the concentration of major hospital systems and insurance companies, sustains steady demand for data engineering leadership across those industries.
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See All 21 Data Engineering Manager Jobs in Atlanta
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