Sr. Forward Deployed Engineer - FDE (Fullstack)
Databricks Mosaic · Zürich, Switzerland
CHECKED 15H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Lead production-grade data and AI solutions for strategic customers.
- Own end-to-end architecture spanning data engineering, AI and apps.
- Embed with customer teams to deliver measurable business impact.
Ideal candidate
Customer-obsessed builder with 6+ years in data or software who thrives at the intersection of technology and business impact. Curious, adaptable, and hands-on, 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 either Python, Scala, JavaScript/TypeScript, and modern frameworks
- Working knowledge of two or more common 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
- Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces
- Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions
- Documentation and white-boarding skills
- Experience working with enterprise clients and managing conflicts across a broad stakeholder range
- Demonstrate curiosity, adaptability, and eagerness to explore new technologies which support deployment and integration of Databricks-based solutions
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