1

Azure Databricks 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 experience with Azure services (e.g., Azure Data Lake, Azure Synapse, Azure SQL). * Familiarity with data ...

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Azure Databricks (ADB), Azure Stream Analytics, * Developer experience using Azure Databases: SQL databases, SQL servers, Azure Synapse Analytics, Azure SQL, Dedicated SQL Pools, SQL Elastic Pools ...

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics,Azure DevOps:-Boards, Repos, Pipelines, Test Plans * Databases: * Must Have: SQL servers/SQL databases, MongoDB, * BI Platforms:

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues ...

Hands-on experience with Azure Databricks and Databricks SQL. * Experience in Java-based streaming and ingestion frameworks. * Strong knowledge of Apache Kafka streaming concepts. * Experience ...

Required 3 Years Azure Databricks (Spark, Delta Lake) Required 3 Years Microsoft Fabric (Dataflows, Pipelines, OneLake) Required 3 Years SQL and Python (Pandas, PySpark) Required 3 Years The ...

next page

Showing results 1-20

Azure Databricks information

See Georgia salary details

$9

$49

$67

How much do azure databricks jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for azure databricks in Georgia is $49.31, according to ZipRecruiter salary data. Most workers in this role earn between $44.66 and $55.43 per hour, depending on experience, location, and employer.

Is Azure Databricks in demand?

Azure Databricks is a popular platform for data engineering, analytics, and machine learning, and professionals with skills in Spark, Python, and cloud environments are increasingly sought after. As organizations adopt cloud-based data solutions, demand for roles involving Azure Databricks continues to grow across industries.

What does a typical day look like for someone working in an Azure Databricks role?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

Is Databricks a high paying job?

Azure Databricks professionals, such as data engineers and data scientists, typically earn above-average salaries due to their specialized skills in cloud platforms, big data processing, and machine learning. Compensation varies based on experience, location, and certifications, but these roles are generally well-paid within the tech industry.

What is a job in Azure Databricks?

A job in Azure Databricks refers to an automated task or set of tasks that run on the platform, such as data processing, machine learning model training, or data pipeline execution. These jobs are scheduled and managed through the Azure Databricks workspace, often requiring knowledge of Spark, Python, Scala, or SQL. They enable users to automate workflows and handle large-scale data analytics efficiently.

What is an Azure Databricks job?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

What is the salary of Azure Databricks developer?

The salary of an Azure Databricks developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Skilled professionals with expertise in Spark, Python, and cloud environments tend to earn higher salaries.

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

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

What are the most commonly searched types of Azure Databricks jobs in Georgia? The most popular types of Azure Databricks jobs in Georgia are:
What are popular job titles related to Azure Databricks jobs in Georgia? For Azure Databricks jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Azure Databricks jobs in Georgia look for? The top searched job categories for Azure Databricks jobs in Georgia are:
What cities in Georgia are hiring for Azure Databricks jobs? Cities in Georgia with the most Azure Databricks job openings:

Azure Databricks Architect

Sarian, Inc.

Atlanta, GA • On-site

$61 - $79.50/hr

Full-time

Re-posted 13 days ago


Job description

JD:
Experience:
  • Proven experience as a Data Architect or similar role with extensive experience in designing and implementing solutions on Azure Databricks.

Technical Skills:
  • 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 modeling, ETL processes, and data warehousing concepts.
  • Knowledge of programming languages such as
  • Python, Scala, or SQL.

Skills:
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Ability to manage multiple projects and prioritize tasks effectively.
  • Certifications (Preferred): Azure Data Engineer or Azure Solutions Architect certifications.
  • Architecture Design: Design and architect scalable and high-performance data solutions on Azure Databricks, including data pipelines, data lakes, and real-time processing systems.
  • Implementation: Lead the implementation of Azure Databricks solutions, ensuring best practices for performance, security, and data governance.
  • Integration: Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database, as well as third-party tools and data sources.
  • Optimization: Monitor and optimize data workflows and queries for performance and cost efficiency.
  • Collaboration: Work closely with data engineers, data scientists, and business stakeholders to understand requirements and deliver effective solutions.
  • Governance: Ensure data governance and security policies are implemented and adhered to within the Databricks environment.
  • Documentation: Create and maintain documentation for architecture, processes, and best practices.
  • Mentorship: Provide guidance and mentorship to junior team members and help them with technical challenges.