Databricks
Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences
$182K–$250K
Austin, Texas +1 · Remote · Senior · Full-time · Posted Apr 3, 2026
- Location
- Austin, Texas
Remote - California - Experience
- 6+ years; in data engineering, data platforms and analytics, or software engineering.
About the job
Build and productionize customer-facing data and AI solutions on the Databricks platform, owning architecture and technical delivery from design through deployment.
What you'll do
- Lead customer projects delivering production-grade data, AI, and application systems, including architectures, ingestion, and model integration.
- Guide customers on architecture, design, implementation, and adoption while coordinating with customer and Databricks teams.
- Provide product feedback and create reusable accelerators, frameworks, and best practices.
What they ask for
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
- Working knowledge of at least two cloud ecosystems (AWS, Azure, GCP), with expertise in at least one; deep Apache Spark experience and knowledge of Spark runtime internals.
- Experience delivering technical projects and deploying production end-to-end data architectures and applications; familiarity with CI/CD and working knowledge of MLOps, ML/AI models, and AI APIs.
Nice to have
- Databricks Certification
Pay
$182,000 — $250,208 USD (base salary); $182,000 — $250,208 USD (base salary); $182,000 — $250,208 USD (base salary); $182,000 — $250,208 USD (base salary)
Tools
Databricks, Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark
AI focus
Integrate ML/AI models and AI APIs into production customer solutions; support MLOps and AI application deployment.
Model-written summary · the original posting is authoritative