Databricks Solutions Architect 2026- US
On-site · Atlanta, Georgia, United States
Job Summary
Databricks Solutions Architect role focused on delivering complex AI, data engineering, and analytics solutions on the Databricks platform. Responsibilities include leading multi-disciplinary client engagements, acting as a Databricks SME for internal and external audiences, providing technical leadership and hands-on delivery, contributing to Databricks-related partnerships, creating technical/content deliverables (blogs, webinars, whitepapers, presentations), building end-to-end demonstrations of Databricks capabilities, supporting sales and advisory activities, and contributing to product development on the Databricks platform. The candidate should be a self-starter with deep Databricks knowledge, strong consulting and communication skills, and the ability to work remotely in a customer-facing environment. The role requires extensive Databricks design/engineering experience, data pipelines, ML/Gen AI capability, and familiarity with cloud platforms (AWS/Azure/GCP), with travel as needed; Atlanta-area options exist for HQ access.
Required Qualifications
- Degree-educated in Computer Science, Data Science, Engineering, Mathematics, or equivalent experience
- 7+ years consulting experience
- 7+ years Databricks solution design/engineering experience
- 5+ years building data pipelines in Databricks using PySpark/Scala/Spark SQL OR 5+ years ML/AI Engineering experience
- Hands-on experience with streaming and front-end development
- Knowledge of Databricks ML and Gen AI features
- Experience with Terraform for metastores/workspaces on cloud platforms (AWS/Azure/GCP)
- Willingness to travel
- Fully remote position with option for HQ in Sandy Springs, GA for Atlanta-based applicants
Desired Qualifications
- Databricks expertise
- strong consulting experience
- Databricks platform knowledge
- PySpark/Scala/Spark SQL
- ML/Gen AI understanding
- Terraform experience
- cloud platforms (AWS, Azure, GCP)
- tech leadership and delivery
- client-facing communication
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