Sr. Forward Deployed Engineer
Databricks Mosaic · Tokyo, Japan · Remote - Japan
CHECKED 14H AGO
Infrastructureremotesenior
At a glance
Highlights
- Lead production-grade data and AI systems for strategic customers.
- Embed with client teams to deliver transformational big data applications.
- Contribute accelerators and frameworks that scale impact across accounts.
Ideal candidate
Customer-obsessed builder with 10+ years experience who thrives at the intersection of technology and business impact. Curious, adaptable and hands-on, you love embedding with teams to solve complex problems that drive measurable outcomes.
Requirements
- 10+ 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
- Design and deployment of end-to-end production data architectures combining pipelines, ML/AI models and user interfaces
- Experience with technical project delivery managing scope, timelines and measurable outcomes
- Documentation and white-boarding skills
- Experience working with enterprise clients and managing conflicts across stakeholders
- Curiosity, adaptability and eagerness to explore new technologies supporting Databricks solutions
- Travel to customers 20% of the time
- Databricks Certification
- Fluent in Japanese with professional working proficiency in English
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