Data Engineering Manager Jobs in Georgia
Data Engineering Manager jobs in Georgia are in strong demand, concentrated in financial services, logistics, healthcare technology, and enterprise software, with openings at every level from first-time engineering managers through senior data platform leaders. Atlanta drives the majority of hiring, followed by Alpharetta and Savannah, where established employers like Delta Air Lines, NCR Voyix, and The Home Depot maintain substantial data and analytics organizations. The most sought-after specialties in Georgia right now are cloud data platform engineering, real-time pipeline architecture, and data mesh governance. Find a role that fits below and apply directly.
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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 Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find Data Engineering Manager JobsData Engineering Manager Jobs by City in Georgia
Where Georgia roles are concentrated, by current openings.
Data Engineering Manager Job Market in Georgia
A snapshot from current Georgia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
What Georgia Employers Look For
The qualifications that appear most often in data engineering manager jobs across Georgia.
- Bachelor's or master's degree in computer science, data engineering, or a closely related field
- Five or more years of hands-on data engineering experience before moving into a management role
- Proven experience managing and mentoring engineers on distributed data platform teams
- Deep proficiency with cloud data platforms such as AWS, Google Cloud, or Azure
- Experience designing and operating large-scale data pipelines using tools like Spark or Databricks
- Strong communication skills for translating data infrastructure strategy to non-technical stakeholders
Data Engineering Manager Jobs in Georgia: Frequently Asked Questions
How do you become a data engineering manager in Georgia?
There is no state-issued license or registration required to work as a data engineering manager in Georgia, so the path runs through experience and credentials rather than a licensing board. Most Georgia employers expect a bachelor's degree in computer science, information systems, or a related field, and several years of hands-on data engineering work before stepping into management. Certifications from cloud providers like AWS or Google Cloud carry real weight with Georgia's technology and financial services employers.
Which companies hire data engineering managers in Georgia?
Employers hiring data engineering managers in Georgia right now include Amazon, ENERCON SERVICES, and GHD, based on current listings on Migrate Mate as of November 2026. Georgia's concentration of Fortune 500 headquarters, fintech firms, and large logistics companies means demand for this role stays consistent throughout the year.
Which Georgia cities have the most data engineering manager jobs?
Atlanta, Kennesaw, and Columbus have the most data engineering manager openings in Georgia. Atlanta dominates because it is home to the regional or global headquarters of major employers across financial services, retail technology, and airlines, while Alpharetta's dense corridor of enterprise software and cybersecurity companies creates strong secondary demand outside the city core.
Are there remote data engineering manager jobs in Georgia?
Yes, and more than most fields. About 86% of data engineering manager openings tied to Georgia are remote or hybrid as of November 2026, reflecting how naturally this role lends itself to distributed work. The parts of the job most often done fully remotely are architecture reviews, pipeline design, and cross-team alignment, while on-site expectations tend to apply to roles embedded within large enterprise data centers.
How can I get hired as a data engineering manager in Georgia with little or no experience?
The most realistic path is moving into management from a senior individual contributor role rather than applying to manager postings directly. Georgia employers like Delta Air Lines, NCR Voyix, and large Atlanta-area health systems regularly promote from within, so starting as a senior data engineer or lead engineer and taking on team coordination responsibilities is the standard route. Building a portfolio of pipeline projects on cloud platforms and earning an AWS or Google Cloud professional certification gives candidates a concrete edge when applying for that first manager-level opening.
Where can I find and apply to data engineering manager jobs in Georgia?
You can find and apply to data engineering manager jobs in Georgia on Migrate Mate, which lists current openings tied to Georgia employers. Search the roles available, find the ones that fit your experience and preferences, and apply directly to each position from the listing.
See All 21 Data Engineering Manager Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find Data Engineering Manager Jobs