Remote Databricks Solution Architect, Data Platform Leader

Capgemini; Atlanta (GA); On-site; USD 73,000 - 174,000; Full time

Job summary

Capgemini is seeking a Resident Solution Architect with 7+ years in data engineering to design and implement scalable data platforms on Databricks. You’ll partner with client teams to set architecture standards, drive optimization, and lead production deployments.

You will guide data platform development, performance tuning, and cost optimization across AWS/Azure/GCP, while mentoring teams on Spark and modern data design. Remote role with global impact.

Qualifications

• 7+ years of experience in data engineering, data platforms, and analytics.
• Completed Databricks Data Engineering Professional certification and required training curriculum.
• Proven experience delivering 6-8+ successful projects with significant hands-on Databricks development expertise.
• Strong experience with distributed computing using Apache Spark, including understanding of Spark runtime internals and performance optimization techniques.
• Experience designing and deploying solutions across cloud platforms, with deep expertise in AWS, Azure, or GCP and working knowledge of at least one additional cloud ecosystem.
• Familiarity with CI/CD pipelines, production deployment practices, and cloud-native development methodologies.
• Working knowledge of MLOps frameworks, machine learning lifecycle management, and model deployment processes.
• Current knowledge of Databricks products, platform capabilities, and best practices for scalability, reliability, and governance.

Responsibilities

• Lead the design and implementation of scalable data engineering and analytics solutions on Databricks.
• Partner with client and delivery teams to define architecture standards, best practices, and technical roadmaps.
• Provide hands-on guidance for data platform development, optimization, and production deployments.
• Drive performance tuning, scalability improvements, and cost optimization across cloud and Databricks environments.
• Collaborate with engineering teams to establish CI/CD, DevOps, and MLOps best practices.
• Mentor technical teams on distributed computing, Spark architecture, and modern data platform design.
• Evaluate emerging Databricks and cloud capabilities and recommend adoption strategies that align with business goals.

Skills

Databricks

Apache Spark

Cloud Platforms

CI/CD

MLOps

Data warehousing

Python

Tools

Databricks Platform

AWS

Azure

GCP

Job description

Capgemini is seeking a Resident Solution Architect with 7+ years in data engineering to design and implement scalable data platforms on Databricks. You’ll partner with client teams to set architecture standards, drive optimization, and lead production deployments.

You will guide data platform development, performance tuning, and cost optimization across AWS/Azure/GCP, while mentoring teams on Spark and modern data design. Remote role with global impact.