Senior Forward Deployed Engineer (Technical Data Architect)
Databricks Mosaic · London, United Kingdom
Infrastructureonsitesenior
At a glance
Highlights
- Lead architecture and delivery of production-grade data & AI solutions on Databricks.
- Embed with strategic customers to drive transformational big data projects to impact.
- Build reusable accelerators and reference architectures that shape product roadmap.
Ideal candidate
Hands-on builder who thrives with customers, combining engineering craft with empathy and curiosity to turn complex data challenges into measurable business impact.
Requirements
- 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 of 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 end-to-end data architectures combining pipelines, ML/AI and UIs
- Experience with technical project delivery managing scope, timelines and measurable outcomes
- Experience working with enterprise clients and managing broad 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
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