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Databricks Engineer Jobs in Georgia (NOW HIRING)

Ztek Consulting

Databricks Architect

Atlanta, GA · On-site

$62.25 - $81.75/hr

Mentor data engineers and architects, provide design oversight and architecture governance, and ... Strong experience with Databricks Unity Catalog and enterprise data-governance capabilities ...

New

Sarian, Inc.

Azure Databricks Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Proficiency with Azure Databricks, Apache Spark, and data processing frameworks. * Strong ... Knowledge of programming languages such as * Python, Scala, or SQL. Skills: * Excellent problem ...

System One

Databricks Subject Matter Expert

Atlanta, GA · On-site

You will partner directly with client stakeholders (CTOs, VPs of Data, and Engineering Leads) to define data strategies, architect scalable solutions on Databricks, and mentor delivery teams. This is ...

System One

Databricks Subject Matter Expert

Atlanta, GA · On-site

You will partner directly with client stakeholders (CTOs, VPs of Data, and Engineering Leads) to define data strategies, architect scalable solutions on Databricks, and mentor delivery teams. This is ...

System One

Databricks Subject Matter Expert

Atlanta, GA · On-site

You will partner directly with client stakeholders (CTOs, VPs of Data, and Engineering Leads) to define data strategies, architect scalable solutions on Databricks, and mentor delivery teams. This is ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Georgia

Databricks Engineer information

See Georgia salary details

$50.2K

$94.3K

$171.4K

How much do databricks engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for databricks engineer in Georgia is $94,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $111,900.00 per year, depending on experience, location, and employer.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in Georgia?

For Databricks Engineer jobs in Georgia, the most frequently searched job titles are:

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

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

What cities in Georgia are hiring for Databricks Engineer jobs?

Cities in Georgia with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Georgia as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $94,260 per year, or $45.3 per hour.

Senior Databricks AI Platform SRE

Central Business Solutions Inc.

Alpharetta, GA • On-site

$54.25 - $72/hr

Full-time

Re-posted 23 hours ago

Job description

Job Summary:
Central Business Solutions Inc. is looking for a Senior Databricks AI Platform SRE to join their Platform SRE team. This role will be critical in designing, building, and optimizing a scalable, secure, and developer-friendly Databricks platform to enable Machine Learning (ML) and Artificial Intelligence (AI) workloads at enterprise scale.
Responsibilities:
• Design and implement secure, scalable, and automated Databricks environments to support AI/ML workloads.
• Develop infrastructure-as-code (IaC) solutions using Terraform for provisioning Databricks, cloud resources, and network configurations.
• Build automation and self-service capabilities using Python, Java and APIs for platform onboarding, workspace provisioning, orchestration and monitoring.
• Collaborate with data science and ML teams to define compute requirements, governance policies, and efficient workflows across dev/qa/prod environments.
• Integrate Databricks offering with cloud-native services on Azure/AWS
• Champion CI/CD and GitOps for managing ML infrastructure and configurations.
• Ensure compliance with enterprise security and data governance policies using RBAC, Audit Controls, Encryption, Network Isolation, and policies.
• Monitor platform performance, reliability, and usage, and drive improvements to optimize cost and resource utilizations.
Qualifications:
Required:
• Total Experience – 5+ Years. Bachelor's or master's degree in computer science, Engineering or a related field.
• Proven experience with Terraform for building and managing infrastructure.
• Strong programming skills in Python and Java
• Hands-on experience with cloud networking, identity and access management, key vaults, monitoring, and logging in Azure
• Hands on experience with Databricks (Workspace management, Clusters, Jobs, MLFlow, Delta Lake, Unity Catalog, Mosaic AI)
• Deep understanding of Azure or AWS infrastructure (e.g. IAM, VNets/VPC, Storage, Networks, Compute, Key management, monitoring)
• Strong experience in distributed system design, development and deployment using agile/devops practices.
• Experience with CI/CD pipelines (GitHub Actions, or similar)
• Experience implementing monitoring and observability using Prometheus, Grafana or Databricks-native solutions.
• Good communication skills, excellent teamwork experience, ability to mentor and develop more junior developers, including participating in constructive code reviews
Preferred:
• Experience in multi-cloud environments (AWS/GCP) is a bonus
• Experience in working in highly regulated environments (finance, healthcare, etc.) is desirable
• Experience with Databricks REST APIs and SDKs
• Knowledge of MLFlow, Mosaic AC, & MLOps tooling
• Working with teams using Scrum, Kanban or other agile practices
• Proficiency with standard Linux command line and debugging tools
• Azure or AWS Certifications
Company:
Central Business Solutions Inc.: Your Partner in Technology & Business Transformation CBSInfosys: 25+ years delivering integrated tech/business solutions. Founded in 2000, the company is headquartered in Newark, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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