Databricks
Sr. Forward Deployed Engineer (FDE) - Financial Services
$182K–$250K
New York City, New York +1 · Remote · Senior · Full-time · Posted Jun 22, 2026
- Location
- New York City, New York
Remote - California - Experience
- 6+ years in data engineering, data platforms and analytics, or software engineering.
About the job
Build and productionize customer data and AI solutions on the Databricks platform, owning architecture and technical delivery from design through deployment.
What you'll do
- Design and deliver production-grade data, AI, and application systems, including reference architectures, pipelines, and model integrations.
- Advise and embed with customer teams on architecture, implementation, and adoption; coordinate delivery with customer and Databricks teams.
- Create 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 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 distributed computing experience with Apache Spark and knowledge of Spark runtime internals; familiarity with CI/CD, MLOps, ML/AI models, and AI APIs.
- Experience delivering technical projects and working with enterprise clients and broad stakeholder groups; travel to customers 20% of the time.
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
Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark, CI/CD
AI focus
Build and productionize data and AI solutions, including ML/AI model integration and end-to-end applications; apply working knowledge of MLOps, ML/AI models, and AI APIs.
Model-written summary · the original posting is authoritative