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Databricks Architect Jobs in Georgia (NOW HIRING)

Programmers.io

lead or architect

Atlanta, GA · On-site

$61 - $79.50/hr

Key Responsibilities Architect Design Design and implement end-to-end modern data architecture on ... Databricks Proficiency Proven expert-level ability to design and build solutions using Databricks ...

Databricks

The customers in your portfolio anchor a strategic vertical for Databricks, and your team's work ... Solution Architect, Technical Account Manager, Customer Success Engineer, or equivalent)

IntelliTrans

Data Architect

Atlanta, GA · On-site

$62.50 - $80.50/hr

The Data Architect will set standards, define direction, and architect scalable solutions-particularly around AWS, Databricks, AI, multi-tenant databases, data lakes, and real-time data streaming.

IntelliTrans

Data Architect

Atlanta, GA · On-site

$62.50 - $80.50/hr

The Data Architect will set standards, define direction, and architect scalable solutions--particularly around AWS, Databricks, AI, multi-tenant databases, data lakes, and real-time data streaming.

United Airlines

Azure Databricks Lead

Atlanta, GA · On-site

$53 - $65.75/hr

... 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 ...

Alkaeus

Data Solution Architect

Alpharetta, GA · On-site

Hands-on experience with Snowflake , Databricks , or similar cloud data platforms. * Good ... Solution Architecture Frameworks BFSI domain experience is highly preferred.

Databricks

Alliance RVP, McKinsey

Atlanta, GA · On-site

$204K - $280K/yr

You will expand the mindshare for Databricks within the McKinsey partner organization, primarily by ... solution architects, enablement leaders, cloud specialists, field marketing, and operations

Insight Global

Solution Architect

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 ...

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

Databricks * Snowflake * Amazon Redshift Leverage Apache Spark and big data frameworks for ... architecture and data modeling Hands-on experience with Databricks, Snowflake, or Redshift ...

System One

Databricks Subject Matter Expert

Atlanta, GA · On-site

$53.50 - $71.75/hr

... architecture. . 5+ years of deep, hands-on experience with Databricks, including production deployments at enterprise scale. . Expert-level proficiency in Apache Spark (PySpark and/or Scala), Delta ...

Speria

Principal Data Architect

Atlanta, GA · On-site

Required : • 10+ years experience in enterprise data architecture and engineering. • Expertise with SQL Server, Databricks, Azure Data Lake, Synapse, Purview. • Strong proficiency in Python ...

System One

Databricks Subject Matter Expert

Atlanta, GA · On-site

$53.50 - $71.75/hr

... architecture. . 5+ years of deep, hands-on experience with Databricks, including production deployments at enterprise scale. . Expert-level proficiency in Apache Spark (PySpark and/or Scala), Delta ...

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Databricks Architect information

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.

What are the key skills and qualifications needed to thrive as a Databricks Architect?

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.

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 most commonly searched types of Databricks Architect jobs in Georgia?

The most popular types of Databricks Architect jobs in Georgia are:

What are popular job titles related to Databricks Architect jobs in Georgia?

For Databricks Architect jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Databricks Architect jobs in Georgia look for?

The top searched job categories for Databricks Architect jobs in Georgia are:

What cities in Georgia are hiring for Databricks Architect jobs?

Cities in Georgia with the most Databricks Architect job openings:

Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in Georgia as of August 2026, with employment types broken down into 31% Full Time, and 69% Contract. Highlights an 81% In-person, and 19% Remote job distribution.

lead or architect

Programmers.io

Atlanta, GA • On-site

$61 - $79.50/hr

Contractor

Re-posted 23 days ago

Job description

Role Description:
Key Responsibilities Architect Design Design and implement end-to-end modern data architecture on the Azure cloud platform, including data lakes, data warehouses, and analytics solutions.Lead Technical Implementation Spearhead the development of data pipelines and modeling layers using Azure services (Azure Data Factory, Synapse Analytics, ADLS Gen2), Databricks, and dbt.Data Modeling Warehousing Develop and maintain robust, scalable data models that support business intelligence and analytics needs. Define and enforce data modeling standards and best practices.Strategy Governance Drive the strategy for our cloud data platform, ensuring security, governance, and cost-effectiveness are embedded into the architecture from day one.Migration Leadership Plan and execute the migration of on-premise data warehouses and databases to the Azure cloud, minimizing downtime and ensuring data integrity.Collaboration Mentorship Work closely with data engineers, analysts, and business stakeholders to understand requirements and deliver effective solutions. Mentor junior members of the team on best practices in cloud data architecture.
Essential Skills:
Required Skills and Experience Experience 10 years in data engineering or architecture, with at least 4 years in a senior or architect role focused on cloud solutions.Azure Expertise Deep, hands-on experience with the Azure data ecosystem, including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Azure Synapse Analytics.Databricks Proficiency Proven expert-level ability to design and build solutions using Databricks for large-scale data processing (ETLELT) and analytics.Modern Data Tooling Strong, practical experience using dbt for data transformation, modeling, and testing within a cloud data warehouse environment.Data Warehousing Solid understanding of data warehousing principles, including KimballInmon methodologies, dimensional modeling, and schema design.Infrastructure as Code (IaC) Experience using tools like Terraform or ARM templates to define and manage cloud infrastructure. Preferred Qualifications Cloud Migration Experience Demonstrable experience leading a significant on-premises data warehouse migration to Azure cloud platform.Power BI Familiarity with Power BI for data visualization and reporting is a strong plus but not required.Certifications Azure certifications such as DP-203 (Data Engineering on Microsoft Azure) or AZ-305 (Designing Microsoft Azure Infrastructure Solutions) are highly desirable.CICD Experience implementing CICD pipelines for data engineering workflows (e.g., using Azure DevOps or GitHub Actions).Programming Proficiency in Python and SQL.Strong Communication Skills.
Skills required:
Digital : Microsoft Azure
Digital : Databricks
Data Build Tool
Azure Data Factory
Desirable Skills:
Not listed
Keywords:
Not listed
EXPERIENCE RANGE IN REQUIRED SKILLS:
10 & Above