1

Databricks Developer Jobs in Georgia (NOW HIRING)

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 ...

These solutions are powered by engineering for business advantage, transforming mission-critical ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

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 ...

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 ...

Data Engineering & Pipeline Development . Architect and oversee large-scale ETL/ELT pipelines using Apache Spark, Delta Live Tables, and Databricks Workflows. . Design real-time and batch ingestion ...

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 ...

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 ...

next page

Showing results 1-20

Databricks Developer information

See Georgia salary details

$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.
Sr. Forward Deployed Engineer - Communications, Media, Entertainment & Games

Sr. Forward Deployed Engineer - Communications, Media, Entertainment & Games

Databricks

Atlanta, GA

$100K - $138K/yr

Other

Posted 17 days ago


Job description

CSQ127R318

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

  • You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
  • Work with engagement managers to scope variety of  professional services work with input from the customer
  • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
  • Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Provide an escalated level of support for customer operational issues.
  • You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

  • 6+ years experience in data engineering, data platforms & analytics
  • Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps 
  • Design and deployment of performant end-to-end data architectures
  • Experience with technical project delivery - managing scope and timelines.
  • Documentation and white-boarding skills.
  • Experience working with clients and managing conflicts.
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Travel to customers 20% of the time
  • Databricks Certification