Databricks
Sr. Forward Deployed Engineer (FDE) - Digital Native Business
$182K–$250K
San Francisco, California +1 · Remote · Senior · Full-time · Posted Apr 7, 2026
- Location
- San Francisco, California
Remote - California - Experience
- 6+ years 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 technical delivery from design through deployment.
What you'll do
- Lead customer projects to design and deliver production-grade data architectures, applications, ingestion, and ML/AI integrations.
- Guide customers on architecture, implementation, and adoption; coordinate technical delivery with customer and Databricks teams.
- Develop 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.
- Ability to code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
- Working knowledge of at least two cloud ecosystems (AWS, Azure, GCP), with expertise in at least one; deep distributed-computing experience with Apache Spark and knowledge of Spark runtime internals.
- Experience delivering technical projects and production end-to-end data architectures and applications; familiarity with CI/CD, MLOps, ML/AI models, and AI APIs.
Nice to have
- Databricks Certification
Pay
$182,000 — $250,208 USD (base salary)
Tools
Databricks Platform, Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark
AI focus
Build and deploy data and AI applications, integrate ML/AI models and AI APIs, and support customer AI challenges.
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