Sr. Forward Deployed Engineer (FDE) - Digital Native Business
Databricks Mosaic · Remote - New York · Remote - California
CHECKED 15H AGO
Infrastructureremotesenior$182k–$250k
At a glance
Highlights
- Build and productionize customer data and AI solutions on Databricks platform.
- Own architecture for end-to-end systems spanning data, AI and apps.
- Guide strategic customers on transformational big data and AI projects.
What they offer
- annual performance bonus
- equity
- comprehensive benefits
Ideal candidate
Hands-on builder who thrives at the intersection of technology and business impact. Customer-obsessed, adaptable and curious, you love embedding with teams to solve complex problems and drive measurable outcomes.
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 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