Databricks
Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences
$182K–$250K
Philadelphia, Pennsylvania +1 · Remote · Senior · Full-time · Posted Apr 3, 2026
- Location
- Philadelphia, Pennsylvania
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 architectures, applications, ingestion, and ML/AI integrations.
- Advise and work alongside customer teams to scope, design, implement, and deploy solutions; guide customer adoption.
- Coordinate with Databricks teams and contribute reusable tools, best practices, and product feedback.
What they ask for
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Code in at least one of Python, Scala, JavaScript/TypeScript, and modern frameworks.
- Working knowledge of at least two cloud ecosystems (AWS, Azure, GCP), with expertise in one; deep distributed-computing experience with Apache Spark and knowledge of Spark runtime internals.
- Experience delivering technical projects and production data architectures or applications combining data pipelines, ML/AI models, and user-facing interfaces.
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
Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark, CI/CD
AI focus
Integrate ML/AI models and AI APIs into production data architectures and applications; apply MLOps practices.
Model-written summary · the original posting is authoritative