Databricks
Sr. Forward Deployed Engineer (FDE) - Financial Services
$182K–$250K
Central - United States +1 · Remote · Senior · Full-time · Posted Jun 22, 2026
- Location
- Central - United States
Remote - California - Experience
- 6+ years; travel to customers 20% of the time.
About the job
Build and productionize customer data and AI solutions on the Databricks platform, owning architecture and delivery from design through deployment.
What you'll do
- Lead customer projects to design and deliver production-grade data, AI, and application systems.
- Advise and guide customers on architecture, implementation, and adoption while coordinating technical delivery with internal teams.
- Create reusable accelerators and provide customer and product feedback to improve delivery and Databricks offerings.
What they ask for
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Code in at least one of Python, Scala, JavaScript/TypeScript, and modern frameworks.
- Working knowledge of at least two cloud ecosystems (AWS, Azure, GCP), with expertise in one; deep Apache Spark distributed-computing experience and knowledge of Spark runtime internals.
- Experience delivering technical projects and production data architectures or applications, including scope management and enterprise stakeholder engagement.
Nice to have
- Databricks Certification
- Familiarity with CI/CD, MLOps, ML/AI models, and AI APIs.
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
Integrate ML/AI models and AI APIs into production data architectures and applications; guide customers in deploying big data and AI applications.
Model-written summary · the original posting is authoritative