Databricks
Sr. Forward Deployed Engineer
$182K–$250K
San Francisco, California +1 · Remote · Senior · Full-time · Posted Aug 21, 2026
- Location
- San Francisco, California
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, owning architecture and technical delivery from design through deployment.
What you'll do
- Lead delivery of production-grade data, AI, and application systems, including architectures, custom applications, data ingestion, and model integration.
- Guide customers on architecture and implementation, embed with their teams, and help them adopt Databricks successfully.
- Coordinate with customer and Databricks teams on technical delivery, product feedback, and reusable assets.
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 (the posting says “either” but lists these languages).
- Working knowledge of at least two cloud ecosystems (AWS, Azure, GCP), with expertise in at least one; deep Apache Spark distributed computing experience and knowledge of Spark runtime internals.
- Familiarity with CI/CD, MLOps, ML/AI models and APIs, and production end-to-end data architectures and applications.
Nice to have
- Databricks Certification
Pay
$182,000 — $250,208 USD base salary (Zones 1, 2, 3, and 4)
Tools
Databricks, Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark
AI focus
Build and deploy customer data and AI applications, integrate ML/AI models and APIs, and apply MLOps practices.
Model-written summary · the original posting is authoritative