Staff Forward Deployed Engineer
Databricks Mosaic · Berlin, Germany; Munich, Germany · Berlin, Germany
CHECKED 15H AGO
Infrastructureonsitestaff
At a glance
Highlights
- Build and productionize end-to-end data and AI solutions for strategic customers.
- Embed with customer teams to deliver transformational big data and AI applications.
- Shape product roadmap by contributing reusable accelerators and best practices.
Ideal candidate
Hands-on builder who thrives at the intersection of technology and business impact. Curious, adaptable and customer-empathetic, you love owning architecture and solving complex problems.
Requirements
- 6+ years 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 one
- Deep experience with distributed computing using Apache Spark and 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 and applications
- Experience delivering technical projects, managing scope, timelines and outcomes
- Documentation and white-boarding skills with enterprise stakeholder management
- Able 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