Databricks
Sr. Forward Deployed Engineer (FDE) - Financial Services
$182K–$250K
Washington, D.C. +1 · Remote · Senior · Full-time · Posted Jun 22, 2026
- Location
- Washington, D.C.
Remote - California - Experience
- 6+ years; in data engineering, data platforms & analytics, or software engineering.
About the job
Build and productionize customer-facing data and AI solutions on the Databricks platform, leading architecture and delivery for enterprise projects.
What you'll do
- Design, build, and deploy production-grade data architectures, applications, and ML/AI integrations.
- Guide customer teams on architecture, implementation, and adoption; coordinate technical delivery with stakeholders.
- Develop reusable accelerators and provide product and implementation feedback to Databricks teams.
What they ask for
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Code proficiency in Python, Scala, JavaScript/TypeScript, and modern frameworks.
- Experience with two or more cloud ecosystems (AWS, Azure, GCP), including expertise in at least one; deep Apache Spark distributed-computing experience and knowledge of Spark runtime internals.
- Experience delivering technical projects and production end-to-end data architectures or applications; familiarity with CI/CD, MLOps, ML/AI models, and AI APIs.
Nice to have
- Databricks Certification
Pay
$182,000 — $250,208 USD (base salary, Zone 1); $182,000 — $250,208 USD (base salary, Zone 2); $182,000 — $250,208 USD (base salary, Zone 3); $182,000 — $250,208 USD (base salary, Zone 4)
Tools
Databricks, Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark™
AI focus
Build and integrate ML/AI models and AI applications into production data systems; apply working knowledge of MLOps and AI APIs.
Model-written summary · the original posting is authoritative