Forward Deployed Engineer
Databricks Mosaic · Amsterdam, Netherlands
CHECKED 15H AGO
Infrastructureonsite
At a glance
Highlights
- Build and productionize customer data & AI solutions on Databricks platform.
- Embed with customer teams to deliver transformational big data and AI apps.
- Create reusable accelerators and frameworks that scale impact across accounts.
Ideal candidate
A builder who thrives at the intersection of technology and business impact, combining customer empathy with curiosity and adaptability to solve complex problems and drive measurable outcomes.
Requirements
- Extensive 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 using Apache Spark and runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps, ML/AI models and AI APIs
- Design and deploy end-to-end data architectures combining pipelines, models and UIs
- Experience delivering technical projects, managing scope, timelines and measurable outcomes
- Documentation and white-boarding skills with enterprise client stakeholder management
- 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