Sr. Forward Deployed Engineer
Databricks Mosaic · San Francisco, California · Remote - California
CHECKED 13H AGO
Infrastructureremotesenior$182k–$250k
At a glance
Highlights
- Build and productionize end-to-end data and AI solutions for customers.
- Own architecture for production-grade systems driving measurable impact.
- Embed with strategic customers to guide transformational big data projects.
What they offer
- Performance bonus
- Equity
- Comprehensive benefits
Ideal candidate
Hands-on builder with 6+ years in data or software who thrives at technology and business impact. Adaptable, curious and customer-empathetic, you love embedding with teams to solve complex problems.
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 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, ML/AI and UIs
- Experience with technical project delivery, managing scope, timelines and measurable outcomes
- Experience working with enterprise clients and managing conflicts across stakeholders
- Willingness to 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