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Manager Data Engineering Jobs in Georgia (NOW HIRING)

LVTLABS\-Magus

Data Engineering Lead

Alpharetta, GA · On-site

... database management, and data integration using Informatica and PL\/SQL . \n \n \n * Team ... Guide and mentor a team of engineers and developers, offering technical direction, support, and ...

Nasdaq

Head of CAP Data Engineering

Atlanta, GA · On-site

$132K - $257K/yr

As the Head of Data Engineering for Capital Access Platforms (CAP), you will be accountable for ... Partner with product managers, business leaders, and technology teams to translate requirements ...

Nasdaq

Head of CAP Data Engineering

Atlanta, GA · Hybrid

$132K - $257K/yr

Asthe Head of Data Engineering for Capital Access Platforms (CAP), you will be accountable for ... Partner with product managers, business leaders, and technology teams to translate requirements ...

ACI Infotech

Sr Data Engineer

Atlanta, GA · Hybrid

$110.10K - $132.20K/yr

Mentoring (20%) Manage and lead a technical team responsible for data engineering and analysis. focusing on individual's professional development as well as overall team health and technical ...

ACI Infotech

Sr Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

... Manage and lead a technical team responsible for data engineering and analysis. • focusing on individual's professional development as well as overall team health and technical proficiency on their ...

AMB Sports & Entertainment

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Manage version control, CI/CD pipelines, and collaborative development workflows using Git-based platforms (GitHub, Azure DevOps) * Collaborate with data analysts, data scientists, and business ...

Edible Brands

Vice President, AI & Data Engineering

Atlanta, GA · On-site

$173.10K - $223.10K/yr

VP, AI & Data Engineering Who are we, and what do we do?      Edible Brands ® was launched ... Proven experience managing and growing junior technical talent into high performers. * Experience ...

Deloitte

Manager - Data Science / Data Lake

Atlanta, GA · On-site

Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

New

Edible Brands

Vice President, AI & Data Engineering

Atlanta, GA · On-site

$173.10K - $223.10K/yr

VP, AI & Data Engineering Who are we, and what do we do?      Edible Brands ® was launched ... Proven experience managing and growing junior technical talent into high performers. * Experience ...

Cushman & Wakefield

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Excellent documentation, communication, and stakeholder management skills; comfortable operating as the technical translator between analytical domain experts and data engineering teams (when ...

Cushman & Wakefield

Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

Excellent documentation, communication, and stakeholder management skills; comfortable operating as the technical translator between analytical domain experts and data engineering teams (when ...

Cushman & Wakefield

Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

Excellent documentation, communication, and stakeholder management skills; comfortable operating as the technical translator between analytical domain experts and data engineering teams (when ...

Cushman & Wakefield

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Excellent documentation, communication, and stakeholder management skills; comfortable operating as the technical translator between analytical domain experts and data engineering teams (when ...

AEG

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Manage version control, CI/CD pipelines, and collaborative development workflows using Git-based platforms (GitHub, Azure DevOps) * Collaborate with data analysts, data scientists, and business ...

ACI Infotech

Lead Data Engineer

Atlanta, GA · On-site

... Manage and lead a technical team responsible for data engineering and analysis. • focusing on individual's professional development as well as overall team health and technical proficiency on their ...

King and Spalding LLP

Legal Business Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

... management, financial, HR, marketing, professional development, and operational systems. * Data Engineering : Implement data engineering practices to build robust data pipelines, ensuring efficient ...

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All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Georgia

Manager Data Engineering information

See Georgia salary details

$26.2K

$82K

$145.2K

How much do manager data engineering jobs pay per year?

As of May 29, 2026, the average yearly pay for manager data engineering in Georgia is $82,027.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $106,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the most commonly searched types of Data Engineering jobs in Georgia? The most popular types of Data Engineering jobs in Georgia are:
What are popular job titles related to Manager Data Engineering jobs in Georgia? For Manager Data Engineering jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Georgia look for? The top searched job categories for Manager Data Engineering jobs in Georgia are:
What cities in Georgia are hiring for Manager Data Engineering jobs? Cities in Georgia with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Georgia as of May 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $82,027 per year, or $39.4 per hour.

Data Engineering Lead

LVTLABS\-Magus

Alpharetta, GA • On-site

Full-time

Posted 26 days ago

Job description

\n <\/head>\n \n \n
\n We are looking for a highly skilled <\/span><\/span>Data Engineering Lead<\/span><\/span><\/b> to spearhead the development and optimization of advanced data solutions. This role requires an individual with expertise in <\/span><\/span>Informatica<\/span><\/span><\/b>, <\/span><\/span>SQL<\/span><\/span><\/b>, and database technologies, who can lead a dynamic team to support business intelligence and analytics initiatives. The successful candidate will be responsible for the end\-to\-end design, implementation, and maintenance of scalable data systems that align with business needs.
<\/span><\/span><\/span>Key Responsibilities:<\/span><\/span><\/span><\/b>\n
    \n
  • Design and Implementation<\/span><\/span><\/span><\/b>: Lead the creation and optimization of data solutions that support business analytics, including ETL workflows, database management, and data integration using <\/span><\/span>Informatica<\/span><\/span><\/b> and <\/span><\/span>PL\/SQL<\/span><\/span><\/b>.<\/span><\/span><\/span><\/li>\n <\/ul>\n
      \n
    • Team Leadership<\/span><\/span><\/span><\/b>: Guide and mentor a team of engineers and developers, offering technical direction, support, and code reviews to ensure the high quality and efficiency of data systems.<\/span><\/span><\/span><\/li>\n <\/ul>\n
        \n
      • Cross\-functional Collaboration<\/span><\/span><\/span><\/b>: Work closely with <\/span><\/span>business analysts<\/span><\/span><\/b>, <\/span><\/span>stakeholders<\/span><\/span><\/b>, and <\/span><\/span>product teams<\/span><\/span><\/b> to translate business objectives into scalable and efficient data solutions.<\/span><\/span><\/span><\/li>\n <\/ul>\n
          \n
        • Hands\-on Development<\/span><\/span><\/span><\/b>: Play an active role in hands\-on coding, debugging, and troubleshooting of data pipelines and workflows to ensure optimal system performance.<\/span><\/span><\/span><\/li>\n <\/ul>\n
            \n
          • Documentation & Reporting<\/span><\/span><\/span><\/b>: Maintain clear and detailed documentation for all data solutions, including data architecture, ETL processes, and performance metrics. Ensure that technical specifications are well\-defined and executed.<\/span><\/span><\/span><\/li>\n <\/ul>\n
              \n
            • Data Governance<\/span><\/span><\/span><\/b>: Oversee the implementation of data quality standards and governance practices to ensure the integrity and reliability of data across pipelines.<\/span><\/span><\/span><\/li>\n <\/ul>\n
                \n
              • Incident Resolution<\/span><\/span><\/span><\/b>: Proactively identify potential issues and lead troubleshooting efforts to resolve incidents related to data systems, collaborating with cross\-functional teams to ensure prompt resolution.<\/span><\/span><\/span><\/li>\n <\/ul>\n
                  \n
                • Continuous Improvement<\/span><\/span><\/span><\/b>: Recommend and implement improvements to existing systems, applying modern tools and technologies to enhance performance, scalability, and security.<\/span><\/span><\/span><\/li>\n <\/ul>\n
                    \n
                  • Innovation<\/span><\/span><\/span><\/b>: Explore and introduce new methodologies and technologies to continuously enhance data management processes and provide innovative solutions to business challenges.<\/span><\/span><\/span><\/li>\n <\/ul>\n <\/div>\n
                    \n
                    \n <\/div><\/span>
                    Requirements<\/h3>\n
                    \n Skills & Qualifications:<\/span><\/span><\/span><\/b>\n
                      \n
                    • Expertise in <\/span><\/span>Informatica PowerCenter<\/span><\/span><\/b> and other ETL tools, with advanced knowledge of <\/span><\/span>data warehousing<\/span><\/span><\/b> and performance optimization techniques.<\/span><\/span><\/span><\/li>\n <\/ul>\n
                        \n
                      • Strong command of <\/span><\/span>SQL<\/span><\/span><\/b>, <\/span><\/span>PL\/SQL<\/span><\/span><\/b>, and experience with <\/span><\/span>MSSQL<\/span><\/span><\/b>, <\/span><\/span>Teradata<\/span><\/span><\/b>, and <\/span><\/span>Oracle<\/span><\/span><\/b> databases.<\/span><\/span><\/span><\/li>\n <\/ul>\n
                          \n
                        • Proven experience in <\/span><\/span>data integration<\/span><\/span><\/b>, <\/span><\/span>ETL design<\/span><\/span><\/b>, and <\/span><\/span>database architecture<\/span><\/span><\/b>.<\/span><\/span><\/span><\/li>\n <\/ul>\n
                            \n
                          • Deep understanding of <\/span><\/span>cloud\-based technologies<\/span><\/span><\/b>, with experience in <\/span><\/span>Azure<\/span><\/span><\/b>, <\/span><\/span>AWS<\/span><\/span><\/b>, or <\/span><\/span>GCP<\/span><\/span><\/b> being a plus.<\/span><\/span><\/span><\/li>\n <\/ul>\n
                              \n
                            • Familiarity with <\/span><\/span>big data technologies<\/span><\/span><\/b> such as <\/span><\/span>Hadoop<\/span><\/span><\/b>, <\/span><\/span>Hive<\/span><\/span><\/b>, and <\/span><\/span>Spark<\/span><\/span><\/b>.<\/span><\/span><\/span><\/li>\n <\/ul>\n
                                \n
                              • Experience with <\/span><\/span>Agile methodologies<\/span><\/span><\/b> and familiarity with <\/span><\/span>DevOps practices<\/span><\/span><\/b> for code deployment.<\/span><\/span><\/span><\/li>\n <\/ul>\n
                                  \n
                                • Strong <\/span><\/span>problem\-solving<\/span><\/span><\/b> and <\/span><\/span>troubleshooting<\/span><\/span><\/b> skills with the ability to resolve complex technical issues.<\/span><\/span><\/span><\/li>\n <\/ul>\n
                                    \n
                                  • Excellent communication skills, with a track record of working effectively with both technical and non\-technical stakeholders.<\/span><\/span><\/span><\/li>\n <\/ul>\n
                                      \n
                                    • Ability to lead projects from start to finish while maintaining a focus on quality, deadlines, and stakeholder needs.<\/span><\/span><\/span><\/li>\n <\/ul>\n
                                        \n
                                      • Nice\-to\-Have<\/span><\/span><\/span><\/b>: Experience with <\/span><\/span>Python<\/span><\/span><\/b> or <\/span><\/span>Scala<\/span><\/span><\/b>, and in\-depth knowledge of <\/span><\/span>customer profitability analysis<\/span><\/span><\/b> or the <\/span><\/span>financial services<\/span><\/span><\/b> domain.<\/span><\/span><\/span><\/li>\n <\/ul>Position Details:<\/span><\/span><\/span><\/b>\n
                                          \n
                                        • Hands\-on<\/span><\/span><\/span><\/b>: Approximately 80% of the role will involve hands\-on development, debugging, and troubleshooting of data systems.<\/span><\/span><\/span><\/li>\n <\/ul>\n
                                            \n
                                          • Innovation & Leadership<\/span><\/span><\/span><\/b>: The remaining 20% will be dedicated to leading innovation initiatives, mentoring junior team members, and driving the evolution of our data systems.<\/span><\/span><\/span><\/li>\n <\/ul>\n <\/div>\n
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                                            \n <\/div><\/span>
                                            \n <\/body>\n<\/html>

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