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Manager Data Engineering Jobs in Georgia (NOW HIRING)

Leading a team spanning databaseadministration, platform engineering, and data engineering, the Manager setstechnical direction, establishes operating standards, develops technicaltalent, and ...

Leading a team spanning databaseadministration, platform engineering, and data engineering, the Manager setstechnical direction, establishes operating standards, develops technicaltalent, and ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Manage data lifecycle policies and archiving processes. Data Transformation and Processing ... Provide technical guidance and best practices to the data engineering and business teams.

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Manage data lifecycle policies and archiving processes. Data Transformation and Processing ... Provide technical guidance and best practices to the data engineering and business teams.

A minimum of 3 years' operational experience working within Data Engineering/Data Management ... Demonstrated experience designing and delivering Data Engineering and Data Management classes ...

Lead Data Engineer

Sandy Springs, GA · On-site

$110K - $132K/yr

Lead/guide multiple technical data engineering team members * Lead by example - designing, building, maintaining and using of our platforms and services to manage data * Design, develop, deploy ...

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

Lead/guide multiple technical data engineering team members * Lead by example - designing, building, maintaining and using of our platforms and services to manage data * Design, develop, deploy ...

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

Lead/guide multiple technical data engineering team members * Lead by example - designing, building, maintaining and using of our platforms and services to manage data * Design, develop, deploy ...

Data Engineer IV

Atlanta, GA · On-site

$110K - $132K/yr

Manage data orchestration workflows (e.g., Airflow or equivalent) * Implement CI/CD and Git-based workflows for data pipelines AI-Assisted & Modern Engineering Practices * Leverage AI tools or ...

... Engineering, Data Analytical Models, Data Governance, Power BI reporting and EBX for enterprise data management or related roles in the job offered. * Design and build scalable data pipelines using ...

Data Engineer

Alpharetta, GA · On-site

$130K - $196K/yr

... Engineering, Data Analytical Models, Data Governance, Power BI reporting and EBX for enterprise data management or related roles in the job offered. * Design and build scalable data pipelines using ...

Showing results 21-40

Manager Data Engineering information

What are the roles and responsibilities of a manager data engineering?

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 are the key skills and qualifications needed to thrive as a manager data engineering?

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 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 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:

Infographic showing various Manager Data Engineering job openings in Georgia as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Manager, Data Platform

Interfor

Peachtree City, GA • On-site

Full-time

Medical, Dental, Retirement, PTO

Posted 19 days ago


Interfor rating

6.6

Company rating: 6.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Manager, Data Platform, Peachtree City, Georgia
The Manager, Data Platformis a player-coach technical leader within Interfor's Data & Analyticspractice, responsible for leading the team that operates and continuouslyimproves Interfor's core data capabilities. Leading a team spanning databaseadministration, platform engineering, and data engineering, the Manager setstechnical direction, establishes operating standards, develops technicaltalent, and partners across IT, the business, and key vendors to delivertrusted enterprise data capabilities.
The role has three primaryobjectives:
  • Ensure the reliability, scalability, and continuous improvement of Interfor's enterprise data platform.
  • Guide the evolution of Interfor's data platform, including adoption of Microsoft Fabric and modern data platform capabilities.
  • Build and develop a high-performing technical team.

In the first year, success includesimproved platform reliability, meaningful progress on Microsoft Fabricadoption, a strengthened technical team, and trusted enterprise data thatbusiness teams rely on.
The successful candidateremains technically credible through architecture direction, coaching, complexproblem-solving, and operational oversight. This is a leadership role thatworks primarily through a capable technical team, with senior staff leadingdetailed design and execution.
This role embodiesInterfor's values through a safety-first, fact-based, and proactive approach todecision making; deep respect for people; and a personal commitment toownership, accountability, and operational excellence.
What We Offer
Interfor offers a competitive salary based on experience, skills, andqualifications, along with a comprehensive total rewards package. We'recommitted to creating careers where employees can contribute, grow, and thrive.In addition to base pay, you'll enjoy:
  • Short-Term Incentive Bonus
  • 3 weeks vacation to start
  • 401(k) matching
  • Employee Share Purchase Program matching
  • Extended Health & Dental

What You'll Do
  • DatabaseLeadership & Operational SQL
    • Lead, coach, and develop the DBA team, setting priorities and operating standards in partnership with senior technical staff.
    • Ensure SQL platform reliability across performance, security, patching, backup/recovery, HA/DR, release management, and on-call/incident response.
    • Lead SQL modernization planning, including evaluating and adopting Azure SQL and Azure SQL Managed Instance where appropriate.
  • Platform& Data Engineering
    • Provide technical leadership for the evolution of Interfor's data platform, including Microsoft Fabric adoption, platform operations, and modern data engineering practices.
    • Establish reusable standards for DevOps, automation, security, integration, testing, data quality, and platform operations.
    • Coach data engineers in delivering trusted data products while supporting the evolution of Interfor's enterprise data warehouse and lakehouse architecture.
  • Data& Platform Management
    • Ensure platform services are governed, secured, and operated across business domains with clear ownership and strong access controls.
    • Manage platform cost, capacity, licensing, lifecycle, and technical debt across Azure, SQL Server, Power BI, and related services.
  • Analytics& AI Enablement
    • Enable BI teams, data scientists, and citizen developers through governed data models, curated data products, and trusted single-source-of-truth reporting.
    • Support responsible AI adoption by helping ensure data foundations are secure, governed, well-documented, and AI-ready.
  • PeopleLeadership & Stakeholder Engagement
    • Hire, onboard, coach, and develop a distributed technical team, setting clear expectations, supporting growth, and building strong team practices.
    • Lead key data platform initiatives, managing priorities, risks, dependencies, stakeholder alignment, and technical debt.
    • Partner across IT, business, vendors, and architecture to align roadmaps and delivery, with occasional U.S. and Canada travel to sites and vendors.

What You Offer
  • Post-secondary degree in Computer Science, Software Engineering, Information Systems, Data & Analytics, or a closely related technical discipline is required.
  • Master's degree in a relevant technical, analytics, or business discipline is preferred.
  • 8+ years of progressive experience across database administration, data engineering, data platform management, cloud data platforms, or related enterprise technology roles.
  • 3+ years leading, supervising, or formally mentoring technical staff responsible for enterprise-scale data platforms, analytics platforms, or critical business systems; direct people-management experience preferred.
  • Strong Microsoft SQL Server expertise, including administration, tuning, security, patching, backup/recovery, HA/DR, and production support.
  • Experience with modern data platform practices, including Azure, cloud modernization, DevOps/CI/CD, automation, secure integration, monitoring, and cost management.
  • Experience with enterprise data warehouse and lakehouse architecture, dimensional modeling, semantic models, data quality, and governed self-service reporting.
  • Experience implementing Microsoft Fabric or comparable modern cloud data platforms (e.g., Azure Synapse, Databricks, Snowflake) is preferred.
  • Relevant Microsoft, data engineering, architecture, governance, or project management certifications are assets.
  • Experience in forestry, manufacturing, supply chain, or related asset-intensive industries is an asset.
  • Technical leadership across platform strategy, standards, troubleshooting, and coaching, with sound judgment on when to lead through the team and when to engage directly.
  • Strong SQL Server and data platform judgment, with a focus on reliability, performance, security, modernization, HA/DR, and business continuity.
  • Strong working knowledge of modern Microsoft data platforms, cloud technologies, DevOps practices, automation, monitoring, and data engineering principles.
  • Strong people leadership, with the ability to hire, coach, develop, retain, and hold technical talent accountable.
  • Ability to translate business needs into platform priorities and clearly communicate trade-offs, risks, roadmaps, and service expectations.
  • Manages the data platform as a product, balancing reliability, cost, adoption, and business value.

Who We Are
Interfor is one of theworld's largest forest products companies, building value in everything we do,every day. Our Data & Analytics team is helping lead a company-widemodernization by building a trusted Microsoft data platform for reporting,analytics, automation, and AI. This is a rare opportunity to shape a modern platformwith real ownership and impact. Start Here. Go Far.
We appreciate the interestof all applicants, however, only those selected for an interview will becontacted. All applicants offered a position must successfully complete apre-employment drug test and background check. Interfor is an Equal OpportunityEmployer building a capable, committed, diverse workforce. All qualifiedapplicants will receive consideration for employment without regard to race,color, religion, sex, sexual identity, gender, national origin, protectedveteran status, or disability.

What Interfor employees say

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