Sr. Forward Deployed Engineer (FDE) - Retail
Databricks Mosaic · Northeast - United States; Southeast - United States · Remote - California
CHECKED 15H AGO
Infrastructureremotesenior$182k–$250k
At a glance
Highlights
- Lead production-grade delivery building end-to-end data and AI systems for customers.
- Embed with retail customers to drive transformational big data and AI impact.
- Create reusable accelerators and frameworks that scale impact across accounts.
What they offer
- performance bonus
- equity
Ideal candidate
Hands-on builder who thrives with customers, combining curiosity, adaptability and empathy to turn complex challenges into production systems with 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 end-to-end data architectures combining pipelines, ML/AI models and user interfaces
- Experience with technical project delivery managing scope, timelines and measurable outcomes
- Experience working with enterprise clients and managing conflicts across 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