Databricks
Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences
$182K–$250K
Atlanta, Georgia +1 · Remote · Senior · Full-time · Posted Apr 3, 2026
- Location
- Atlanta, Georgia
Remote - California - Experience
- 6+ years in a stated discipline; travel to customers 20% of the time.
About the job
Build and productionize customer-facing data and AI solutions on the Databricks platform, owning architecture and delivery from design through deployment.
What you'll do
- Lead customer projects delivering production-grade architectures, applications, data ingestion, and ML/AI integrations.
- Advise and embed with customer teams to guide implementation, adoption, and technical delivery.
- Partner with Databricks teams to resolve engagement issues and provide product feedback; contribute reusable assets and best practices.
What they ask for
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Code proficiency in Python, Scala, JavaScript, or TypeScript and modern frameworks.
- Working knowledge of at least two cloud ecosystems (AWS, Azure, GCP), with expertise in at least one; deep Apache Spark distributed-computing experience and knowledge of Spark runtime internals.
- Experience delivering technical projects and designing production data architectures and applications combining pipelines, ML/AI models, and user-facing interfaces.
Nice to have
- Databricks Certification
- Familiarity with CI/CD and working knowledge of MLOps, ML/AI models, and AI APIs.
Pay
$182,000 — $250,208 USD base salary (Zone 1); $182,000 — $250,208 USD base salary (Zone 2); $182,000 — $250,208 USD base salary (Zone 3); $182,000 — $250,208 USD base salary (Zone 4)
Tools
Databricks, Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark
AI focus
Integrate ML/AI models and AI APIs into production customer data systems and applications; support customer data and AI initiatives.
Model-written summary · the original posting is authoritative