Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences
Databricks Mosaic · Atlanta, Georgia · Remote - California
CHECKED 15H AGO
Infrastructureremotesenior$182k–$250k
At a glance
Highlights
- Build and productionize customer data and AI solutions on Databricks platform.
- Lead end-to-end design and deployment of big data and AI applications.
- Embed with Healthcare and Life Sciences teams to drive transformational impact.
What they offer
- Performance bonus
- Equity
- Comprehensive benefits and perks
Ideal candidate
A builder at heart who thrives with customers, combining engineering expertise with curiosity, adaptability and empathy to solve complex data challenges and deliver measurable business impact.
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 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
- Experience designing and deploying production end-to-end data architectures combining pipelines, ML/AI and interfaces
- Experience with technical project delivery managing scope, timelines and measurable outcomes
- Experience working with enterprise clients and managing conflicts across broad stakeholders
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