Databricks
Sr. Forward Deployed Engineer
$182K–$250K
United States +1 · Remote · Senior · Full-time · Posted Aug 21, 2026
- Location
- United States
Remote - California - Experience
- 6+ years; listed fields are 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
- Deliver production-grade customer systems, including data architectures, applications, ingestion, and ML/AI integrations.
- Guide customers on architecture and design, and coordinate technical delivery with customer and Databricks teams.
- Provide product feedback and contribute reusable assets, frameworks, and best practices.
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 modern frameworks; working knowledge of at least two cloud ecosystems, with expertise in one.
- Deep experience with Apache Spark distributed computing and knowledge of Spark runtime internals; familiarity with CI/CD and working knowledge of MLOps, ML/AI models, and AI APIs.
- Experience delivering technical projects and working with enterprise clients and diverse stakeholders.
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, Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark™
AI focus
Build and productionize data and AI solutions, including ML/AI model integration, MLOps, AI APIs, and data and AI applications.
Model-written summary · the original posting is authoritative