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Databricks Jobs in Atlanta, GA (NOW HIRING)

Databricks Administrator Location: Alpharetta, GA and Jersey City, NJ Position Code: 305456 Need Diversity Candidates will be responsible for providing technical expertise in deploying applications ...

Databricks Developer Location: Atlanta, GA / Nashville, TN Duration: Long term contract Note: Looking for Permanent / Visa independent consultants We are looking for a skilled Databricks Developer to ...

Databricks Developer - Georgia We are seeking a highly skilled Databricks Developer to join our innovative team in Georgia. In this pivotal role, you will utilize your expertise in data engineering ...

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Deloitte is seeking a Manager - Databricks to support the design, build, and delivery of modern data and analytics solutions for clients across industries. In this role, you will help teams translate ...

Azure Databricks Architect

Atlanta, GA ยท On-site

$61 - $79.50/hr

Proficiency with Azure Databricks, Apache Spark, and data processing frameworks. * Strong experience with Azure services (e.g., Azure Data Lake, Azure Synapse, Azure SQL). * Familiarity with data ...

Databricks Subject Matter Expert Category: Analytics and Emerging Digital Technologies Main location: United States, Georgia, Atlanta Position ID:J0426-1107 Employment Type: Full Time Position ...

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$36.3K

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How much do databricks jobs pay per year?

As of Jun 10, 2026, the average yearly pay for databricks in Atlanta, GA is $36,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $39,900.00 per year, depending on experience, location, and employer.

What is a Databricks job?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

Does Databricks pay more than Google?

As a data platform company, Databricks generally offers competitive salaries that can be comparable to or slightly lower than Google's, depending on the role, location, and experience level. Google is known for high compensation packages, especially for engineering and technical roles, often including bonuses and stock options, while Databricks also provides attractive pay and benefits for data engineers, data scientists, and software engineers. Salary differences depend on specific job functions, seniority, and geographic location.

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

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the most commonly searched types of Databricks jobs in Atlanta, GA? The most popular types of Databricks jobs in Atlanta, GA are:
What job categories do people searching Databricks jobs in Atlanta, GA look for? The top searched job categories for Databricks jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Databricks jobs? Cities near Atlanta, GA with the most Databricks job openings:
Databricks Administrator

Databricks Administrator

Net Orbit

Alpharetta, GA โ€ข On-site

Full-time

Posted 7 days ago


Job description

Databricks Administrator
Location: Alpharetta, GA and Jersey City, NJ
Position Code: 305456
Need Diversity Candidates
will be responsible for providing technical expertise in deploying applications on Azure Databricks platform.
  • The Databricks Administrator must be self-motivated and apply knowledge of Azure to drive solutions, support the development team, and create documentation to support and describe technical solutions.
  • An ideal candidate will have technical Azure platform expertise and demonstrate high standards of accountability, customer focus, and quality.

You will:
  • Work with key stakeholders in the WM Strats, Algo and Modeling teams in the design, development and implementation of large Databricks environments
  • Work closely with members of WM Strats, Alog and Modeling team to facilitate Machine learning models using Spark/PySpark/Pytorch etc.,
  • Manage Databricks environments in line with security guidelines o Develop Infrastructure as Code(IaC) to automate databricks environment deployments.
  • Develop a library of scripts to automate databricks MLOps environments.
  • Perform Production deployment and model monitoring to ensure stable performance and adherence to standards

QUALIFICATIONS:
  • Professional experience with 5-7 years of experience developing and implementing models in Cloud ecosystem, i.e., AWS/Azure/GCP, Databricks, SageMaker, or any other similar distributed computing technology
  • Proficiency with any one of Databricks, SageMaker, DataIku or similar tools
  • Partnered with Cloud solution architect and development team to fully understand product requirements and configure the a Machine learning platform which meet these requirements
  • Good written and verbal communication skills

You might also have:
  • Good to understand a multitude of Azure resources and services such as containers, virtual machines, storage, log analytics, alerting, metrics, Azure AD, Key Vaults, Azure Backup