Sr. Forward Deployed Engineer
Databricks Mosaic · New York City, New York · Remote - California
CHECKED 13H AGO
Infrastructureremotesenior$182k–$250k
At a glance
Highlights
- Build and productionize customer data and AI solutions on Databricks.
- Embed with customer teams to deliver transformational big data projects.
- Create reusable accelerators that scale impact and shape product roadmap.
What they offer
- Performance bonus
- Equity
- Comprehensive benefits
Ideal candidate
Hands-on, customer-obsessed builder who thrives at the intersection of technology and business impact, combining empathy, curiosity and ownership to deliver production 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 cloud ecosystems (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
- Design and deployment of end-to-end data architectures combining pipelines, ML/AI and interfaces
- Experience with technical project delivery managing scope, timelines and measurable outcomes
- Documentation and white-boarding skills
- Experience working with enterprise clients and managing broad stakeholders
- Travel to customers 20% of the time
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