Databricks
Sr. Forward Deployed Engineer (FDE) - Digital Native Business
$182K–$250K
West Coast - United States +1 · Remote · Senior · Full-time · Posted Sep 14, 2026
- Location
- West Coast - United States
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
- Lead customer projects to design and build production-grade data, AI, and application systems.
- Guide customers on architecture, implementation, and adoption; coordinate technical delivery with customer and Databricks teams.
- Develop reusable accelerators and provide product and implementation feedback.
What they ask for
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Code in Python, Scala, JavaScript, or TypeScript and work with 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 designing production end-to-end data architectures and applications; working knowledge of CI/CD, MLOps, ML/AI models, and AI APIs.
Nice to have
- Databricks Certification
Pay
$182,000 — $250,208 USD (salary range; the posting does not specify an ISO currency code)
Tools
Databricks Platform, Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark
AI focus
Integrate ML/AI models and AI APIs into production data architectures and applications, including MLOps.
Model-written summary · the original posting is authoritative