Databricks
Sr. Forward Deployed Engineer (FDE) - Retail
$182K–$250K
Central - United States +1 · Remote · Senior · Full-time · Posted Jul 23, 2026
- Location
- Central - United States
Remote - California - Experience
- 6+ years in data engineering, data platforms and analytics, or software engineering.
About the job
Build and productionize customer 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, AI, and application systems, including reference architectures and integrations.
- Guide customers on architecture, design, adoption, and implementation while coordinating technical delivery with customer and Databricks teams.
- Provide product feedback and contribute reusable frameworks, accelerators, 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 have 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.
- Experience delivering technical projects and production end-to-end data architectures or applications combining pipelines, ML/AI models, and user-facing interfaces.
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
Integrate ML/AI models and AI APIs into production customer solutions; support MLOps and end-to-end data and AI applications.
Model-written summary · the original posting is authoritative