Databricks
Sr. Forward Deployed Engineer (FDE) - Digital Native Business
$182K–$250K
Remote - New York +1 · Remote · Senior · Full-time · Posted Sep 14, 2026
- Location
- Remote - New York
Remote - California - Experience
- 6+ years; travel to customers 20% of the time.
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, AI, and application systems, including reference architectures, data ingestion, and model integration.
- Advise customers on architecture and design, embed with their teams, and guide successful evaluation and adoption of Databricks.
- Coordinate with customer and Databricks teams on delivery, resolve implementation 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 at least one; deep experience with Apache Spark and knowledge of Spark runtime internals.
- Familiarity with CI/CD, MLOps, ML/AI models and AI APIs; experience designing and deploying performant production end-to-end data architectures and applications.
Nice to have
- Databricks Certification
Pay
$182,000 — $250,208 USD (salary range)
Tools
Databricks Platform, Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark
AI focus
Integrate ML/AI models and AI APIs into production data architectures and applications; deliver customer big data and AI solutions.
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