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Databricks Architect Jobs in Georgia (NOW HIRING)

United Airlines

Azure Databricks Engineer

Atlanta, GA · On-site

$93K - $128K/yr

... architecture Bronze Silver Gold layers Develop reusable Databricks notebooks and jobs for ... production data workflows Azure Cloud Integration Build and orchestrate pipelines using Azure Data ...

NAVA Software Solutions

Azure Data Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Azure Data Architect Location: Atlanta GA - Hybrid / Remote also ok Duration: 6-12 months * 10+ ... Databricks * Experience with Big Data Technologies such as Spark, Hadoop, Kafka, and Storm

HRC Global Services

Data Architect - Georgia

Atlanta, GA · On-site

$150K - $170K/yr

... using: • Databricks • Snowflake • Amazon Redshift Leverage Apache Spark and big data ... architecture and data modeling Hands-on experience with Databricks, Snowflake, or Redshift ...

US Bank

Technology Architect

Atlanta, GA · On-site

Creates architectural principles to support business goals. Consults with business line managers ... and Databricks. * Familiarity with building AI-enabled applications using AWS services (e.g ...

APCO Holdings

Cloud Optimization Architect

Norcross, GA · On-site

$61 - $77.50/hr

Databricks Efficiency: Design and support Azure Databricks environments with a strict focus on cost-efficiency, implementing Auto-termination, Spot Instance policies, and Unity Catalog governance.

US Bank

Technology Architect

Atlanta, GA · On-site

Creates architectural principles to support business goals. Consults with business line managers ... and Databricks. * Familiarity with building AI-enabled applications using AWS services (e.g ...

APCO Holdings

Cloud Optimization Architect

Norcross, GA · Hybrid

$61 - $77.50/hr

Databricks Efficiency: Design and support Azure Databricks environments with a strict focus on cost-efficiency, implementing Auto-termination, Spot Instance policies, and Unity Catalog governance.

APCO Holdings

Cloud Optimization Architect

Norcross, GA · Hybrid

$61 - $77.50/hr

Databricks Efficiency: Design and support Azure Databricks environments with a strict focus on cost-efficiency, implementing Auto-termination, Spot Instance policies, and Unity Catalog governance.

Insight Global

Solutions Architect DA

Atlanta, GA · On-site

$60.50 - $79.75/hr

Your expertise with LLM enabling technologies such as Databricks and Python in a multi-cloud context effectively enables solution architecture. Join us in creating a dynamic, equitable, and ...

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Databricks Architect information

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

What are the key skills and qualifications needed to thrive as a Databricks Architect, and why are they important?

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

Are data architects in high demand?

Data architects, including those working with platforms like Databricks, are in high demand due to the increasing need for scalable data management and analytics solutions. Organizations seek professionals with expertise in data modeling, cloud environments, and tools like Spark and SQL to design and maintain complex data systems.

How much do Databricks architects make?

Databricks architects typically earn between $120,000 and $180,000 annually, depending on experience, location, and certifications. Senior roles with extensive expertise in cloud platforms and data engineering can command higher salaries, often exceeding $200,000.

What is a Databricks architect?

A Databricks architect is a professional responsible for designing, implementing, and managing data solutions using the Databricks platform. They typically have expertise in big data, cloud environments, and Spark, and work to optimize data workflows and analytics infrastructure.

Will AI replace Solution Architect?

A Databricks Architect, who designs and implements data solutions on the Databricks platform, is unlikely to be fully replaced by AI. While AI can automate certain tasks like data processing and code generation, Solution Architects require strategic planning, domain expertise, and client interaction that currently cannot be fully automated.
What are the most commonly searched types of Databricks Architect jobs in Georgia? The most popular types of Databricks Architect jobs in Georgia are:
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Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in Georgia as of June 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Sr Director Principal Data Architect

Sr Director Principal Data Architect

authority

Atlanta, GA

Other

Posted 14 days ago

Job description

Authority Brands is seeking a highly skilled principal data architect with 10+ years of relevant experience to lead a data analytics platform migration from Redshift to Databricks and lead a small team (4-5 direct reports) of data engineers & Power BI developers.  This will be a muiti-year transformation and hands on experience is required to build out the Medallion architecture. 

Key Responsibilities:

  • Lead analytics platform migration in AWS from Redshift environment (S3, RDS, Lambda, Glue) to new Databricks environment.
  • Design, build, and optimize logical data model and stand up bronze, silver and gold semantic layer in Databricks.
  • Develop and optimize complex SQL and Pythonbased ETL processes across AWS service
  • Own data modeling and schema design to support analytics, reporting, and downstream use cases.
  • Partner with crossfunctional teams to understand data requirements and deliver wellgoverned solutions.
  • Establish and uphold data quality, validation, and documentation standards across pipelines and datasets.
  • Monitor pipeline performance and proactively identify opportunities to improve reliability, scalability, and efficiency.
  • Communicate technical concepts and data tradeoffs clearly to both technical and nontechnical stakeholders.
  • Support the enablement of metrics, dashboards, and reporting by providing wellmodeled, trusted data foundations. 

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or a related field.  Graduate degree in similar domain preferred.
  • 10+ years of experience in data architecture & engineering or a closely related role.
  • Strong SQL expertise and experience working with large datasets.
  • Proficiency in Python for ETL, automation, and data pipeline development.
  • Handson experience with Databricks and Redshift environments within AWS data services
  • Experience with data modeling, version control (Git), and CI/CD practices.
  • Handson experience leveraging LLMs such as Claude for accelerating data engineering workflows, including code generation, ETL transformations, test creation, schema documentation, and troubleshooting.
  • Strong understanding of prompt design and model constraints within enterprise security guidelines
  • Strong problemsolving skills and ability to work independently in a fastmoving environment.
  • Excellent communication skills and comfort collaborating with crossfunctional partners.

Apply