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Databricks Engineer Jobs in Georgia (NOW HIRING)

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 ...

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 ...

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 ...

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Showing results 21-40

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 Aug 17, 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 $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

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, and their roles are often available across various industries seeking data-driven solutions.

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 87% Full Time, 6% Part Time, 1% Temporary, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $94,260 per year, or $45.3 per hour.

Databricks SME

Scicom Infrastructure Services, Inc.

Atlanta, GA • On-site

$62.25 - $81.75/hr

Contractor

Re-posted 12 days ago

Job description

Key Responsibilities:
Architecture & Platform Design
  • Design enterprise Databricks Lakehouse architectures aligned with the Databricks Well-Architected Framework
  • Define reference architectures for batch, streaming, analytics, and ML workloads
  • Select and standardize cluster, compute, and workspace architectures
  • Design multi-workspace strategies (dev/test/prod, shared vs. isolated)
  • Ensure architectures meet scalability, availability, and performance requirements

Well-Architected Framework Alignment
Apply Databricks best practices across all pillars, including:
  • Security & Governance (Unity Catalog, IAM, data access controls)
  • Reliability & Resilience (job retries, checkpointing, failure isolation)
  • Performance Efficiency (cluster sizing, autoscaling, caching)
  • Cost Optimization (compute policies, workload separation, monitoring)
  • Operational Excellence (monitoring, automation, CI/CD, runbooks)

Implementation & Engineering
  • Lead Databricks workspace, cluster, and Unity Catalog implementations
  • Implement Delta Lake, Delta Live Tables (DLT), and Structured Streaming
  • Build and optimize ETL/ELT pipelines using Spark and SQL
  • Integrate Databricks with cloud services (S3/ADLS/GCS, IAM, Key Vault, networking)
  • Establish CI/CD pipelines for notebooks, jobs, and infrastructure

Security, Governance & Compliance
  • Implement Unity Catalog for centralized governance
  • Define data classification, lineage, and audit strategies
  • Enforce least-privilege access and secure networking patterns
  • Support compliance requirements (HIPAA, SOC 2, PCI, GDPR as applicable)

Operations & Optimization
  • Monitor platform health, performance, and cost
  • Troubleshoot production issues across jobs, clusters, and data pipelines
  • Perform workload tuning and cost-performance optimization
  • Define SLOs, alerts, and operational metrics

Collaboration & Leadership
  • Partner with Data Engineering, Analytics, ML, Platform, and Security teams
  • Translate business requirements into technical architectures
  • Provide architectural guidance and technical mentorship
  • Communicate risks, tradeoffs, and recommendations to leadership

Required Qualifications:
Experience
  • 7+ years in data engineering, analytics, or platform architecture
  • 3-5+ years hands-on Databricks experience in production environments
  • Proven experience applying the Databricks Well-Architected Framework
  • Experience designing cloud-native lakehouse architectures
  • Experience supporting mission-critical data platforms

Technical Skills
  • Databricks Lakehouse Platform
  • Apache Spark (PySpark / Scala / Spark SQL)
  • Delta Lake, Delta Live Tables, Structured Streaming
  • Unity Catalog (governance, lineage, access controls)
  • Cloud platforms: AWS, Azure, or GCP
  • Infrastructure as Code (Terraform strongly preferred)
  • CI/CD tools (GitHub Actions, Azure DevOps, GitLab, etc.)
  • Data formats and protocols (Parquet, JSON, Avro)

Certifications Required:
  • Databricks Certified Data Engineer Professional
  • Databricks Certified Professional Architect (or equivalent advanced certification)

Preferred / Additional Certifications
  • AWS Certified Solutions Architect (Associate or Professional)
  • Azure Solutions Architect Expert
  • Google Professional Data Engineer
  • Databricks Machine Learning Professional
  • Snowflake or other cloud data platform certifications

Soft Skills
  • Strong architectural decision-making and documentation skills
  • Excellent communication with technical and non-technical stakeholders
  • Ability to lead design reviews and architecture governance forums
  • Strong troubleshooting and performance-tuning mindset

Nice-to-Have Experience
  • MLflow and MLOps architectures
  • Real-time analytics and streaming pipelines
  • Multi-region or cross-account data architectures
  • Consulting or MSP delivery experience

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