Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences
Databricks Mosaic · Austin, Texas · Remote - California
CHECKED 15H AGO
InfrastructureremoteSenior$182k–$250k
At a glance
Highlights
- Lead production-grade customer projects delivering end-to-end data and AI systems.
- Embed with strategic healthcare customers to drive transformational business impact.
- Build reusable accelerators that scale impact and influence product roadmap.
What they offer
- Performance bonus
- Equity
- Comprehensive benefits
Ideal candidate
Hands-on builder who thrives at the intersection of technology and business impact. Customer-obsessed, curious and adaptable, you love embedding with teams to solve complex problems and deliver measurable outcomes.
Requirements
- 6+ years experience in data engineering, data platforms & analytics, or software engineering
- Comfortable writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
- Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps, ML/AI models and AI APIs
- Design and deployment of performant production end-to-end data architectures combining pipelines, models and user interfaces
- Experience with technical project delivery managing scope, timelines and measurable outcomes
- Documentation and white-boarding skills
- Experience working with enterprise clients and managing conflicts across stakeholders
- remote policy
- Eligible for candidates anywhere within Central or Eastern Time Zones
Lab profile
About Databricks Mosaic
Builds unified data analytics and AI platform to productionize AI applications.
What they build
- Databricks platform
- Unified Data Analytics and AI
- AI platform
Known for
- Forward-deployed AI engineering
- Productionizing first-of-kind AI applications
- Customer platform adoption and scale
- Cross-functional engineering and product collaboration