Databricks
Sr. Forward Deployed Engineer (FDE) - Digital Native Business
$182K–$250K
Mountain View, California +1 · Remote · Senior · Full-time · Posted Jul 23, 2026
- Location
- Mountain View, California
Remote - California - Experience
- 6+ years; experience may be in data engineering, data platforms and analytics, or software engineering.
About the job
Build and productionize customer-facing data and AI solutions on the Databricks Platform, owning architecture and delivery from design through deployment.
What you'll do
- Lead customer projects delivering production-grade data architectures, applications, ingestion, and ML/AI integrations.
- Guide customer architecture, implementation, and adoption while coordinating delivery with customer and Databricks teams.
- Contribute 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 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.
- Familiarity with CI/CD, MLOps, ML/AI models and AI APIs, and design and deployment of production end-to-end data architectures and applications.
Nice to have
- Databricks Certification
Pay
$182,000 — $250,208 USD (base salary); $182,000 — $250,208 USD (base salary); $182,000 — $250,208 USD (base salary); $182,000 — $250,208 USD (base salary)
Tools
Databricks Platform, Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark
AI focus
Integrate ML/AI models and AI APIs into production customer solutions, including end-to-end data and AI applications.
Model-written summary · the original posting is authoritative