Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games
Databricks Mosaic · San Francisco, California · Remote - Texas
CHECKED 15H AGO
Infrastructureremotesenior$182k–$250k
At a glance
Highlights
- Build and productionize end-to-end solutions for customer data and AI challenges.
- Lead architecture and design for secure, scalable production-grade systems.
- Embed with customer teams to drive measurable business impact.
What they offer
- performance bonus
- equity
Ideal candidate
A hands-on builder with 6+ years in data or software who thrives at the intersection of technology and business impact. Customer-empathetic, curious and adaptable, you love embedding with clients to solve complex problems.
Requirements
- 6+ years 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 that combine data pipelines, ML/AI models, and user-facing interfaces
- Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions
- Documentation and white-boarding skills
- Experience working with enterprise clients and managing conflicts across a broad stakeholder range
- 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