Sr. Forward Deployed Engineer (FDE) - Digital Native Business
Databricks Mosaic · Remote - California
CHECKED 14H AGO
Infrastructureremotesenior$182k–$250k
At a glance
Highlights
- Lead production-grade data and AI builds for strategic digital-native customers.
- Embed with customer teams from ICs to execs to deliver measurable impact.
- Create reusable accelerators and best practices that scale impact across accounts.
What they offer
- Annual performance bonus
- Equity
- Comprehensive benefits and perks
Ideal candidate
Hands-on builder who thrives at the intersection of technology and business impact, combining engineering depth with customer empathy, curiosity, and adaptability to solve complex problems onsite with customers.
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 clouds (AWS, Azure, GCP) with expertise in at least one
- Deep experience with distributed computing with Apache Spark and Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps, ML/AI models and AI APIs
- Experience designing and deploying end-to-end data architectures combining pipelines, models and interfaces
- Experience with technical project delivery managing scope, timelines and measurable outcomes
- Documentation and white-boarding skills with enterprise clients and 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