Databricks
Sr. Forward Deployed Engineer
$182K–$250K
Remote - Washington D.C. +1 · Remote · Senior · Full-time · Posted Aug 21, 2026
- Location
- Remote - Washington D.C.
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, leading architecture and delivery from design through deployment.
What you'll do
- Deliver production-grade customer systems, including data architectures, applications, ingestion pipelines, and ML/AI integrations.
- Guide customers on architecture, design, implementation, and adoption while coordinating technical delivery with internal and customer teams.
- Provide product feedback and create reusable accelerators, 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/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 or 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); $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
Integrate ML/AI models and AI APIs into production customer systems and applications.
Model-written summary · the original posting is authoritative