Sr. Forward Deployed Engineer (FDE) - Financial Services
Databricks Mosaic · Washington, D.C. · Remote - California
CHECKED 14H AGO
Infrastructureremotesenior$182k–$250k
At a glance
Highlights
- Lead production-grade data and AI systems for financial services customers.
- Embed with strategic customers to deliver transformational big data projects.
- Build reusable accelerators and frameworks scaling impact across accounts.
What they offer
- Performance bonus
- Equity
- Comprehensive benefits
Ideal candidate
A customer-obsessed builder with 6+ years in data engineering who thrives at the intersection of technology and business impact, combining curiosity, adaptability and empathy to 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 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 end-to-end 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
- 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