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Lead Data Engineer Jobs in Georgia (NOW HIRING)

Senior Data Engineer

Lawrenceville, GA · On-site

$97K - $132K/yr

The Lead Data Engineer plays a foundational role in designing and implementing this platform on Databricks, defining architecture standards, ensuring code quality, and mentoring engineers across the ...

Senior Data Engineer

Lawrenceville, GA

$97K - $132K/yr

The Lead Data Engineer plays a foundational role in designing and implementing this platform on Databricks, defining architecture standards, ensuring code quality, and mentoring engineers across the ...

Data Engineer

Atlanta, GA

$110K - $132K/yr

Lead the evolution of data engineering practices by championing automation, governance, and platform modernization initiatives that increase efficiency, strengthen data quality, and reduce ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Lead the evolution of data engineering practices by championing automation, governance, and platform modernization initiatives that increase efficiency, strengthen data quality, and reduce ...

Data Engineer

Columbus, GA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Rapid advances in IoT, machine learning, and artificial intelligence ... In this role, you will lead technical efforts across assessment, design, development, and ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Lead projects to build or improve well-scoped data products. Collaborate Across Teams * Work with ... Translate business questions into engineering tasks and contribute to technical planning.

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Lead projects to build or improve well-scoped data products. Collaborate Across Teams * Work with ... Translate business questions into engineering tasks and contribute to technical planning.

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Lead projects to build or improve well-scoped data products. Collaborate Across Teams * Work with ... Translate business questions into engineering tasks and contribute to technical planning.

Online Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

Online Data Engineer teams at The Home Depot translate business requirements and build the ... May lead small projects and work independently on solution development. Execute tasks with high ...

Online Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

Online Data Engineer teams at The Home Depot translate business requirements and build the ... May lead small projects and work independently on solution development. Execute tasks with high ...

The Lead Data Scientist is recognized as an expert within thecompany;progression to this level is typically restrictedon the basis ofbusiness requirements.Solves unique and complex problems with ...

The Lead Data Scientist is recognized as an expert within thecompany;progression to this level is typically restrictedon the basis ofbusiness requirements.Solves unique and complex problems with ...

Sr. Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Sr. Data Engineer Alpharetta, GA (Face to face required) Position type: W2 contract Job Functions ... Solve complex engineering problems and lead system design and development activities. * Understand ...

Lead Data Scientist

Atlanta, GA · On-site

$140 - $190/hr

As Lead Data Scientist for Stord Labs, you will build digital twins, develop predictive and ... with controls engineers and operations specialists, and collaborating with frontier AI ...

As Lead Data Scientist for Stord Labs, you will build digital twins, develop predictive and ... with controls engineers and operations specialists, and collaborating with frontier AI ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... You are expected to lead with integrity and authenticity, articulating our purpose and values in a ...

Lead Data Scientist

Thomasville, GA · On-site

$144K - $198K/yr

The lead data scientist will function like a forward-deployed engineer who takes a supply chain problem from ambiguity to financial impact: framing the problem, shaping the data and models, building ...

Lead the design of logical data models and implement optimized physical database structures ... Engineer, Database Developer, or similar role * Strong experience with SQL Server, SSIS, and Azure ...

As Lead Data Scientist for Stord Labs, you will build digital twins, develop predictive and ... with controls engineers and operations specialists, and collaborating with frontier AI ...

Showing results 41-60

Lead Data Engineer information

See Georgia salary details

$35.9K

$104.5K

$152.4K

How much do lead data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for lead data engineer in Georgia is $104,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $114,000.00 per year, depending on experience, location, and employer.

How does a lead data engineer typically collaborate with data scientists and other engineering teams?

As a Lead Data Engineer, you play a central role in bridging the gap between raw data and actionable insights. You’ll collaborate closely with data scientists to understand their requirements, ensuring data pipelines deliver clean, reliable datasets for modeling and analysis. Additionally, you’ll work with software engineers and DevOps teams to integrate data solutions into production systems, maintain data infrastructure, and uphold best practices for data governance and security. Effective communication and cross-functional teamwork are key aspects of this role.

What are the key skills and qualifications needed to thrive as a lead data engineer?

To thrive as a Lead Data Engineer, you need advanced expertise in data architecture, database design, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data technologies (e.g., Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications such as Google Professional Data Engineer are highly valued. Strong leadership, problem-solving abilities, and effective communication help drive team performance and translate business needs into technical solutions. These skills ensure robust, scalable data pipelines and successful collaboration across technical and business stakeholders.

What is the difference between Lead Data Engineer vs Data Engineer?

AspectLead Data EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platforms or data toolsBachelor's in CS, Data Science, or related; similar certifications
Work EnvironmentLeads data projects, mentors teams, designs architectureBuilds data pipelines, maintains databases, implements data solutions
Industry UsageUsed in organizations with complex data needs, overseeing data teamsCommon in companies handling large-scale data processing

The main difference is that Lead Data Engineers oversee data projects and teams, focusing on architecture and strategy, while Data Engineers focus on building and maintaining data pipelines. Both roles require similar skills and certifications, but the Lead Data Engineer has additional leadership responsibilities.

What is a lead data engineer?

Lead Data Engineers are senior professionals responsible for designing, building, and managing large-scale data systems and architectures within an organization. They oversee data engineering teams, set technical standards, and ensure efficient data flow and storage. Their role involves collaborating with data scientists, analysts, and other stakeholders to deliver reliable data solutions that support business goals. Lead Data Engineers also mentor junior engineers and help define best practices and strategies for data management.

What are the most commonly searched types of Lead Data Engineer jobs in Georgia?

The most popular types of Lead Data Engineer jobs in Georgia are:

What job categories do people searching Lead Data Engineer jobs in Georgia look for?

The top searched job categories for Lead Data Engineer jobs in Georgia are:

Infographic showing various Lead Data Engineer job openings in Georgia as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $104,521 per year, or $50.3 per hour.

Senior Data Engineer

M3

Lawrenceville, GA • On-site

$97K - $132K/yr

Full-time

Re-posted 6 days ago


Job description

Description Summary:
M3 (www.m3as.com) is a leading provider of hospitality-specific software solutions, delivering cloud-based tools for hotel accounting, financial reporting, labor management, payroll, and business intelligence. Built by hoteliers for hoteliers, M3 empowers hotel owners, operators, and management companies to streamline back-office operations, reduce costs, gain real-time insights, and drive portfolio performance across thousands of properties in North America and beyond.
M3 is building a modern, scalable, cloud-native data platform to support analytics, governance, operational data activation, and AI-driven product capabilities. The Lead Data Engineer plays a foundational role in designing and implementing this platform on Databricks, defining architecture standards, ensuring code quality, and mentoring engineers across the data team.
This is a hands-on role expected to contribute directly to implementation while elevating technical standards and guiding architectural direction. This individual is responsible for establishing architecture standards, scalable data models, pipeline engineering best practices, and CI/CD processes that enable reliable, governed, and AI-ready data across the organization. This is a hands-on senior engineering role with significant influence over long-term platform direction and technical standards.
Essential Duties:
The duties listed below are the essential functions of this position, and they may change as the needs of the company demand. All associates are expected to do what is necessary to get the work done and to cooperate fully with their supervisor's requests for additional or altered duties.
  • Design, implement, and evolve M3's cloud-native data platform architecture through direct, hands-on development.
  • Define and enforce standards for medallion architecture (Bronze, Silver, Gold layers).
  • Lead scalable data modeling efforts across financial, customer, and product domains using domain-oriented design principles and treating data assets as durable, well-defined data products.
  • Architect and optimize ingestion and activation pipelines (API, CDC, batch, and event-based patterns), enabling reliable bi-directional data movement between the platform and operational systems.
  • Implement CI/CD processes, deployment automation, and testing standards for data workflows.
  • Establish monitoring, observability, and performance optimization practices.
  • Collaborate cross-functionally with Engineering, Product, Analytics, and Business Systems teams to ensure the platform supports both analytical use cases and operational data activation back into core systems.
  • Define data platform architecture standards, domain boundaries, and reusable design patterns that reinforce a data-as-a-product mindset across all new development.
  • Establish and enforce code quality standards, conduct regular PR reviews, and implement engineering best practices across the data team.
  • Mentor and guide data engineers through pairing, design reviews, and structured feedback to elevate engineering quality, consistency, and architectural thinking.
  • Partner with external vendors when applicable and ensure knowledge transfer into internal teams.
  • Balance architecture leadership with active delivery, ensuring platform scalability, cost efficiency, and long-term maintainability while maintaining team velocity.

Education/Training/Experience:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent practical experience).
  • 8+ years of experience in data engineering or data platform development.
  • 3+ years of experience designing and building cloud-based data platforms (Azure preferred; AWS or GCP acceptable; Databricks strongly preferred).
  • Strong expertise in SQL, data modeling, and ELT/ETL frameworks.
  • Experience implementing CI/CD and DevOps practices for data engineering.
  • Hands-on experience with data governance, metadata management, or catalog tools preferred.
  • Demonstrated experience building scalable, production-grade, cloud-native data systems.
  • Experience designing and managing data products with clear ownership, SLAs, and domain-oriented architecture principles is strongly preferred.
  • Must have strong written and verbal skills in English and the ability to communicate effectively.
  • Must be able to build and maintain positive business relationships with co-workers and other business contacts.
  • This position requires regular attendance, punctuality, and the ability to work a full-time position during normal office hours as well as some time on weekends and evenings as project needs or scheduling requirements dictate.
  • This position requires the ability to work in an office setting, sitting at a computer workstation, with the ability to work most of the day using the computer, telephone, and basic office equipment.