Forward Deployed Engineering - Senior Architect
Databricks Mosaic · London, United Kingdom · Remote - United Kingdom
CHECKED 15H AGO
Infrastructureremotesenior
At a glance
Highlights
- Lead customer projects delivering production-grade data and AI systems.
- Embed with customer teams to solve complex challenges and drive outcomes.
- Build reusable accelerators that scale impact and shape product roadmap.
Ideal candidate
A hands-on builder who thrives at the intersection of technology and business impact, pairing customer empathy and curiosity with adaptability to solve complex problems and deliver measurable outcomes.
Requirements
- 6+ years 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
- Experience designing and deploying end-to-end production data architectures combining pipelines, ML/AI and user interfaces
- Experience with technical project delivery managing scope, timelines and measurable outcomes
- Documentation and white-boarding skills with enterprise clients and 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