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.
Find Data Engineering Manager JobsOverview
Showing 5 of 19+ Data Engineering Manager jobs
The NAOU Marketing Data team is responsible for building the data foundation, engineering capabilities, and analytics solutions that enable better marketing decisions across North America. The team connects data, technology, and insights to create scalable capabilities that support consumer understanding, marketing effectiveness, measurement, personalization, and AI-driven decision-making.
Working across Marketing, Integrated Marketing Experience (IMX), Human Sciences, Advanced Analytics, MarTech, Digital Technology, and enterprise data teams, the organization helps transform data into a strategic asset that drives growth, innovation, and business impact.
Role Overview
The Director, Data Engineering will lead the hands-on design, development, and operation of scalable marketing data pipelines and curated data products across Microsoft Azure. The role transforms internal and external data into trusted, governed, reusable assets for analytics, measurement, activation, personalization, and AI-enabled decision-making.
This player-coach will set engineering standards while actively designing solutions, writing and reviewing code, and resolving complex issues. The role partners with Marketing Data Architecture, Marketing Analytics, MarTech, Digital Technology, and enterprise data teams to deliver secure, reliable, observable, and cost-effective capabilities.
What You Will Do for Us
Design & Build Azure Data Pipelines: Personally design, code, test, deploy, and operate scalable batch and streaming pipelines across Azure. Integrate consumer, media, commerce, CRM, loyalty, Adobe, and enterprise data sources using reusable engineering patterns.
Curate Trusted, AI-Ready Data Products: Build standardized, documented datasets and data products that are accurate, discoverable, reusable, and ready for analytics, machine learning, and generative AI. Apply strong data modeling, metadata, lineage, and data contract practices.
Lead Hands-On Engineering & Technical Design: Translate business and architecture requirements into production-grade solutions. Create technical designs, write and review Python, SQL, and PySpark code, troubleshoot complex issues, and balance speed, scale, quality, and maintainability.
Establish GitHub Engineering & DevOps Practices: Use GitHub for source control, pull requests, code reviews, documentation, and collaboration. Implement automated testing, CI/CD, infrastructure as code, release management, and secure development practices.
Use AI-Assisted Development Responsibly: Use Codex, Cursor, and GitHub Copilot to accelerate design, coding, testing, refactoring, and documentation. Establish validation and security guardrails so AI-generated code meets enterprise engineering, privacy, and quality standards.
Ensure Reliability, Quality & Operational Excellence: Build monitoring, observability, alerts, data quality controls, and service expectations into every pipeline. Lead incident response and root-cause analysis while optimizing performance, scalability, security, and cloud cost.
Partner, Deliver & Develop Engineering Talent: Partner across Marketing, Analytics, Architecture, MarTech, and Digital Technology to deliver high-value capabilities. Mentor engineers through hands-on pairing and code reviews, raising standards and fostering accountability, curiosity, and continuous learning.
Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; advanced degree preferred.
10+ years of hands-on data engineering or platform experience, including technical leadership of production-scale solutions and mentoring engineers.
Expert SQL and strong Python/PySpark skills across data modeling, ETL/ELT, distributed processing, orchestration, quality, observability, and performance tuning.
Hands-on experience with Azure data services such as Data Factory, Fabric, Databricks, Data Lake Storage, Synapse Analytics, Functions, or Event Hubs.
Strong GitHub and DevOps experience with code review, automated testing, CI/CD, infrastructure as code using Terraform or Bicep, and automated deployment.
Practical experience with Codex, Cursor, or GitHub Copilot, including disciplined validation of generated code, tests, security, and documentation.
Experience engineering consumer, media, customer, commerce, or marketing data from 1st party, 2nd party, and 3rd party sources in a matrixed organization.
Pay Range:
United States: 169,000 - 200,000 USDBase pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage:
30Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Location(s):
United States of AmericaCity/Cities:
AtlantaTravel Required:
00% - 25%Relocation Provided:
NoJob Posting End Date:
September 22, 2026Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.Pay Range:: 0 - 0 USD
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage:30
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Long-term Incentive Reference Value Percentage:0 - 20
Long-term Incentive reference value is a market-based competitive value for your role.
The NAOU Marketing Data team is responsible for building the data foundation, engineering capabilities, and analytics solutions that enable better marketing decisions across North America. The team connects data, technology, and insights to create scalable capabilities that support consumer understanding, marketing effectiveness, measurement, personalization, and AI-driven decision-making.
Working across Marketing, Integrated Marketing Experience (IMX), Human Sciences, Advanced Analytics, MarTech, Digital Technology, and enterprise data teams, the organization helps transform data into a strategic asset that drives growth, innovation, and business impact.
Role Overview
The Director, Data Engineering will lead the hands-on design, development, and operation of scalable marketing data pipelines and curated data products across Microsoft Azure. The role transforms internal and external data into trusted, governed, reusable assets for analytics, measurement, activation, personalization, and AI-enabled decision-making.
This player-coach will set engineering standards while actively designing solutions, writing and reviewing code, and resolving complex issues. The role partners with Marketing Data Architecture, Marketing Analytics, MarTech, Digital Technology, and enterprise data teams to deliver secure, reliable, observable, and cost-effective capabilities.
What You Will Do for Us
Design & Build Azure Data Pipelines: Personally design, code, test, deploy, and operate scalable batch and streaming pipelines across Azure. Integrate consumer, media, commerce, CRM, loyalty, Adobe, and enterprise data sources using reusable engineering patterns.
Curate Trusted, AI-Ready Data Products: Build standardized, documented datasets and data products that are accurate, discoverable, reusable, and ready for analytics, machine learning, and generative AI. Apply strong data modeling, metadata, lineage, and data contract practices.
Lead Hands-On Engineering & Technical Design: Translate business and architecture requirements into production-grade solutions. Create technical designs, write and review Python, SQL, and PySpark code, troubleshoot complex issues, and balance speed, scale, quality, and maintainability.
Establish GitHub Engineering & DevOps Practices: Use GitHub for source control, pull requests, code reviews, documentation, and collaboration. Implement automated testing, CI/CD, infrastructure as code, release management, and secure development practices.
Use AI-Assisted Development Responsibly: Use Codex, Cursor, and GitHub Copilot to accelerate design, coding, testing, refactoring, and documentation. Establish validation and security guardrails so AI-generated code meets enterprise engineering, privacy, and quality standards.
Ensure Reliability, Quality & Operational Excellence: Build monitoring, observability, alerts, data quality controls, and service expectations into every pipeline. Lead incident response and root-cause analysis while optimizing performance, scalability, security, and cloud cost.
Partner, Deliver & Develop Engineering Talent: Partner across Marketing, Analytics, Architecture, MarTech, and Digital Technology to deliver high-value capabilities. Mentor engineers through hands-on pairing and code reviews, raising standards and fostering accountability, curiosity, and continuous learning.
Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; advanced degree preferred.
10+ years of hands-on data engineering or platform experience, including technical leadership of production-scale solutions and mentoring engineers.
Expert SQL and strong Python/PySpark skills across data modeling, ETL/ELT, distributed processing, orchestration, quality, observability, and performance tuning.
Hands-on experience with Azure data services such as Data Factory, Fabric, Databricks, Data Lake Storage, Synapse Analytics, Functions, or Event Hubs.
Strong GitHub and DevOps experience with code review, automated testing, CI/CD, infrastructure as code using Terraform or Bicep, and automated deployment.
Practical experience with Codex, Cursor, or GitHub Copilot, including disciplined validation of generated code, tests, security, and documentation.
Experience engineering consumer, media, customer, commerce, or marketing data from 1st party, 2nd party, and 3rd party sources in a matrixed organization.
Pay Range:
United States: 169,000 - 200,000 USDBase pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage:
30Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Location(s):
United States of AmericaCity/Cities:
AtlantaTravel Required:
00% - 25%Relocation Provided:
NoJob Posting End Date:
September 22, 2026Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.Pay Range:: 0 - 0 USD
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage:30
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Long-term Incentive Reference Value Percentage:0 - 20
Long-term Incentive reference value is a market-based competitive value for your role.
See All 19 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, LTM Limited, and GHD, based on current listings on Migrate Mate as of September 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 Lithia Springs 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 63% of data engineering manager openings tied to Georgia are remote or hybrid as of September 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 19 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