Databricks
Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences
$182K–$250K
New York City, New York +1 · Remote · Senior · Full-time · Posted Mar 6, 2026
- Location
- New York City, New York
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 delivery from design through deployment.
What you'll do
- Lead customer projects delivering production-grade data systems, applications, ingestion pipelines, and ML/AI integrations.
- Guide customers on architecture and design, embedding with their teams to support adoption and measurable outcomes.
- Coordinate with customer and Databricks teams, resolve engagement issues, and contribute reusable assets and product feedback.
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 two or more cloud ecosystems (AWS, Azure, GCP), with expertise in at least one; deep distributed computing experience with Apache Spark and knowledge of Spark runtime internals.
- Experience delivering technical projects and designing and deploying production data architectures and applications; familiarity with CI/CD, MLOps, ML/AI models, and AI APIs.
Nice to have
- Databricks Certification
Pay
$182,000 — $250,208 USD (base salary), Zones 1–4
Tools
Databricks, Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark
AI focus
Integrate ML/AI models and AI APIs into production customer solutions; advise on MLOps and deploy end-to-end data and AI applications.
Model-written summary · the original posting is authoritative