Sr. Forward Deployed Engineer (FDE) - Digital Native Business
Databricks Mosaic · San Francisco, California · Remote - California
CHECKED 14H AGO
Infrastructureremotesenior$182k–$250k
At a glance
Highlights
- Build and productionize end-to-end data and AI solutions with customers.
- Own architecture and lead design for strategic customer projects.
- Embed with customer teams to deliver measurable business impact.
What they offer
- Annual performance bonus
- Equity
- Comprehensive benefits and perks
Ideal candidate
A hands-on, customer-obsessed builder who thrives at the intersection of technology and business impact. Adaptable, curious and empathetic, you love embedding with teams to solve complex problems.
Requirements
- 6+ years of 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
- Design and deployment of performant production end-to-end data architectures and applications
- 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
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