Senior Forward Deployed Engineer – Data & AI Solutions

Databricks; United States; On-site; USD 182,000 - 250,000; Full time

Job summary

Databricks is seeking a Forward Deployed Engineer to partner with customers in the San Francisco Bay Area, designing production-grade data and AI solutions on the Databricks Platform. You will own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and applications.

You will work cross-functionally with engineering, product, and customer-related teams to ensure secure, scalable implementations and measurable business impact, traveling ~20% and

Qualifications

• 5+ years in data engineering, data platforms or software engineering.
• Experience with cloud ecosystems (AWS/Azure/GCP).
• Proficient in Python/Scala/JS and modern frameworks.

Responsibilities

• Lead impactful customer technical projects by delivering production-grade systems and reference architectures.
• Guide strategic customers in end-to-end design, build and deployment of big data and AI solutions.
• Bootstrap or implement customer projects to achieve measurable value for the customer.
• Own architecture decisions ensuring security, scalability and alignment with Databricks best practices.
• Collaborate with engineering and customer support to provide feedback and rapid issue resolution.
• Embed with customer teams to understand challenges and deliver impact across stakeholders.

Skills

Python

Scala

JS/TS

Cloud platforms

Spark

MLOps

Customer-facing

Project delivery

Tools

Databricks Platform

CI/CD tools

Python tooling

APIs integration

Job description

Databricks is seeking a Forward Deployed Engineer to partner with customers in the San Francisco Bay Area, designing production-grade data and AI solutions on the Databricks Platform. You will own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and applications.

You will work cross-functionally with engineering, product, and customer-related teams to ensure secure, scalable implementations and measurable business impact, traveling ~20% and