Senior Forward-Deployed Data & AI Engineer

Databricks Inc.; New York (NY); On-site; USD 180,656 - 248,360; Full time

Benefits offered by this job

Annual performance bonus

Equity options

Comprehensive benefits package

Job summary

Databricks Inc. is seeking a Sr. Forward Deployed Engineer (FDE) in New York City to build and productionize solutions for data & AI challenges. This hands-on, customer-facing role emphasizes impactful project delivery and collaboration across teams.

You will deliver production-grade systems, guide customers on architecture, and ensure solutions align with best practices. Candidates should have robust engineering experience and familiarity with cloud ecosystems, especially AWS or Azure.

Qualifications

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering.
• Working knowledge of two or more common cloud ecosystems.
• Deep experience with distributed computing using Apache Spark.

Responsibilities

• Lead impactful customer technical projects delivering production-grade systems.
• Guide strategic customers on implementing transformational big-data projects.
• Embed with customer teams to deeply understand challenges and deliver impact.

Skills

Data engineering

Cloud ecosystems (AWS, Azure, GCP)

Distributed computing with Apache Spark

CI/CD for production deployments

MLOps and AI APIs

Technical project delivery

Documentation and white-boarding skills

Customer engagement

Curiosity and adaptability

Education

6+ years in relevant fields

Databricks Certification

Job description

Databricks Inc. is seeking a Sr. Forward Deployed Engineer (FDE) in New York City to build and productionize solutions for data & AI challenges. This hands-on, customer-facing role emphasizes impactful project delivery and collaboration across teams.

You will deliver production-grade systems, guide customers on architecture, and ensure solutions align with best practices. Candidates should have robust engineering experience and familiarity with cloud ecosystems, especially AWS or Azure.