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Databricks Developer Jobs in Georgia (NOW HIRING)

Bachelor's degree 6+ years of experience delivering data engineering, analytics, or cloud data platform solutions 3+ years of experience with Databricks and Apache Spark 3+ years of experience with ...

Sr Data Architect, Databricks

Alpharetta, GA · On-site +1

$65.75 - $87.75/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Our team is early in its Databricks maturity journey, and this hire will establish foundational ...

Sr Data Architect, Databricks

Alpharetta, GA · On-site +1

$65.75 - $87.75/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Our team is early in its Databricks maturity journey, and this hire will establish foundational ...

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Databricks Developer information

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$17

$51

$67

How much do databricks developer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for databricks developer in Georgia is $51.92, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $57.45 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Databricks Developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

Is Databricks a high paying company?

As a Databricks Developer, salary levels are generally competitive within the tech industry, often reflecting expertise in cloud platforms, big data tools, and programming skills. Compensation can vary based on experience, location, and certifications, but many roles in this field offer above-average salaries for data and cloud professionals.

What are the key skills and qualifications needed to thrive in the Databricks Developer position, and why are they important?

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

Is Databricks an in demand skill?

Databricks skills are highly in demand for data engineering and data science roles, as many organizations adopt the platform for big data processing and analytics. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers, with many companies seeking professionals with certification and experience in the platform.

What is a Databricks Developer job?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Developer can be competitive, requiring strong skills in Apache Spark, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering and analytics tools to improve their chances.

Is Databricks need coding?

As a Databricks Developer, coding skills are essential because the role involves writing and optimizing code in languages such as Python, Scala, or SQL to develop data pipelines and analytics solutions within the Databricks platform. Familiarity with Spark and data engineering concepts is also important for effective performance.
What are the most commonly searched types of Databricks Developer jobs in Georgia? The most popular types of Databricks Developer jobs in Georgia are:
What are popular job titles related to Databricks Developer jobs in Georgia? For Databricks Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Databricks Developer jobs in Georgia look for? The top searched job categories for Databricks Developer jobs in Georgia are:
Infographic showing various Databricks Developer job openings in Georgia as of June 2026, with employment types broken down into 93% Full Time, 2% Part Time, 1% Temporary, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $107,997 per year, or $51.9 per hour.
Senior Databricks AI Platform SRE

Senior Databricks AI Platform SRE

Central Business Solutions

Alpharetta, GA • On-site

$55.75 - $74/hr

Full-time

Posted 21 days ago


Job description

Senior Databricks AI Platform SRE
Description: We are looking for a Senior Databricks AI Platform SRE to join our 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
You will partner with ML engineer, data scientists, platform teams, and cloud architects to automate infrastructure, enforce best practices, and streamline the end-to-end ML lifecycle using modern cloud-native technologies.
Total Experience - 5+ Years. Bachelor's or master's degree in computer science, Engineering or a related field.
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
Required Skills:
  • 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 Skills:
  • 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

Central Business Solutions, Inc(A Certified Minority Owned Organization)
Checkout our excellent assessment tool: http://www.skillexam.com/
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Central Business Solutions, Inc
37600 Central Court Suite 214 Newark CA, 94560
Phone: (833)247-8800 Fax: (510)-740-3677
Web: http://www.cbsinfosys.com