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Databricks Architect Jobs in Georgia (NOW HIRING)

IT America Inc

Databricks Developer

Atlanta, GA · On-site

Databricks Developer Location: Atlanta, GA / Nashville, TN Duration: Long term contract Note ... Knowledge of Medallion architecture * Ability to work independently and collaborate effectively ...

Deloitte

Databricks Manager

Atlanta, GA · On-site

Professionals in this area work across strategy, architecture, implementation, and deployment to ... Deloitte is seeking a Manager - Databricks to support the design, build, and delivery of modern ...

Deloitte

Azure/Databricks Infrastructure Engineer

Atlanta, GA · On-site

$53.50 - $71.75/hr

Participate in architecture reviews, technical workshops, client discussions, and operational ... As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure ...

DS Technologies INC

Databricks developer

Atlanta, GA

Databricks Developer - Georgia We are seeking a highly skilled Databricks Developer to join our ... Collaborate with data scientists and analysts to define data models and architecture. * Optimize ...

Purple Drive Technologies

Azure Data 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 ...

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 ...

Deloitte

Databricks Manager

Atlanta, GA · On-site +1

Work you'll do As a Databricks Manager on the AI & Data team, you will be responsible for ... Lead solution reviews and design update discussions to drive architecture decisions and secure ...

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)

Deloitte

Databricks Data Engineer

Atlanta, GA

$110K - $132K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ... Apply data architecture, integration, and data modeling practices to improve data quality ...

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.

Deloitte

Sr Databricks Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Lead, coach, and develop teams of data engineers and architects, fostering technical growth and ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

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All JobsDatabricks Architect JobsDatabricks Architect Jobs in Georgia

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.
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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.
Big Data Architect- Databricks, Spark, AWS

Big Data Architect- Databricks, Spark, AWS

Grid Dynamics Holdings

Atlanta, GA • On-site

$61.25 - $78.75/hr

Full-time

Medical, Dental, Vision

Posted 3 days ago

Job description

We are currently hiring a Big Data Architect for a hybrid role in Atlanta, GA
Essential functions
Data Architecture & Engineering
  • Design and implement medallion architecture (raw, silver, gold layers) to enable efficient data ingestion, processing, and quality management.
  • Develop standardized ETL and streaming pipelines using Databricks, Apache Spark, and Apache Airflow, ensuring low-latency data processing.
  • Define and enforce data quality and observability frameworks, integrating dashboards and monitoring tools to maintain high data integrity.
  • Optimize data pipeline performance and infrastructure costs, identifying bottlenecks and areas for improvement.

Technical Leadership & Strategy
  • Lead the technical discovering and ongoing development, assessing current systems, identifying pain points, and defining the target state architecture.
  • Provide technical recommendations and a roadmap for implementation, ensuring best practices in data engineering and architecture.
  • Guide the selection and implementation of cloud-based data platforms to support scalability, efficiency, and future growth.
  • Ensure compliance with security, governance, and regulatory requirements in data handling and processing.

Cross-Team Collaboration & Stakeholder Engagement
  • Act as the technical point of contact between engineering teams, business stakeholders, and management.
  • Work closely with team members to ensure smooth collaboration and knowledge transfer.
  • Translate business requirements into technical solutions, ensuring alignment between data engineering practices and business objectives.

Project Delivery & Execution
  • Define best practices, coding standards, and development workflows for data engineering teams.
  • Ensure a smooth transition from discovery to implementation, providing hands-on guidance and technical oversight.
  • Participate in planning and work closely with the Delivery Manager to manage timelines and priorities, various program related topics
  • Monitor and troubleshoot data pipeline performance, ensuring high availability and reliability of data systems.

Qualifications
  • Cloud provider: AWS
  • Programming language: Python
  • Frameworks and technologies: AWS Glue, Apache Spark, Apache Kafka, Apache Airflow
  • Experience working with on-premise will be a plus
  • Databricks is a MUST
  • Bachelor's/Master's degree in Computer Science/ Engineering or a related field.

We offer
  • Opportunity to work on cutting-edge projects
  • Work with a highly motivated and dedicated team
  • Competitive salary
  • Flexible schedule
  • Benefits package - medical insurance, vision, dental, etc.
  • Corporate social events
  • Professional development opportunities
  • Well-equipped office

About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

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