Senior Forward Deployed Engineer, Sr FDE (L5)
Databricks Mosaic · Remote - India · Karnataka, India
Infrastructureremotesenior
At a glance
Highlights
- Build and productionize customer data and AI solutions on Databricks.
- Lead architecture for end-to-end systems spanning data, AI, and apps.
- Embed with strategic customers to deliver transformational big data projects.
Ideal candidate
Builder with 9+ years in data or software engineering who thrives at the intersection of technology and business impact. Customer-empathetic, adaptable and curious, you love embedding with clients to solve complex problems and deliver measurable outcomes.
Requirements
- 9+ years of 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 combining data pipelines, ML/AI models, and user-facing 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 a broad stakeholder range
- Curiosity, adaptability, and eagerness to explore new technologies supporting Databricks-based solutions
- Travel to customers 20% of the time
- Databricks Certification
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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