Databricks
Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games
$182K–$250K
San Francisco, California +1 · Remote · Senior · Full-time · Posted Mar 12, 2026
- Location
- San Francisco, California
Remote - Texas - 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 delivery from design through deployment.
What you'll do
- Lead customer projects delivering production-grade data architectures, applications, ingestion systems, and ML/AI integrations.
- Advise and embed with customer teams on architecture, implementation, adoption, and technical delivery.
- Coordinate with Databricks teams and customers, resolve delivery issues, and contribute reusable assets and product feedback.
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.
- Experience with production data architectures and applications, technical project delivery, and enterprise clients; familiarity with CI/CD, MLOps, ML/AI models, and AI APIs.
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
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, MLOps, and AI APIs.
Model-written summary · the original posting is authoritative