Senior Forward-Deployed Data & AI Architect

Fdetimes; Washington (District of Columbia); On-site; USD 182,000 - 250,000; Full time

Job summary

Databricks is seeking a Forward Deployed Engineer to work with customers, owning architecture and leading design decisions. You will implement end‑to‑end data, AI, and application solutions on the Databricks platform, delivering measurable impact with strong customer empathy.

The role combines hands‑on engineering with strategic guidance, working across data engineering, AI, and enterprise customer contexts, and requires travel to client sites up to 20%.

Qualifications

• 6+ years experience in data engineering, data platforms & analytics, or software engineering.
• Comfortable writing code in Python, Scala, or JavaScript/TypeScript and modern frameworks.
• Working knowledge of two or more Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.

Responsibilities

• Lead production‑grade systems design and implementation for customer projects.
• Architect end‑to‑end data and AI solutions aligned with customer needs and best practices.
• Guide transformational big data projects from design to deployment.
• Embed with customer teams and executives to understand challenges and deliver impact.
• Contribute accelerators, frameworks, and best practices across accounts.

Skills

Python

Scala

JavaScript/TypeScript

Cloud platforms (AWS, Azure, GCP)

Spark / distributed computing

CI/CD

MLOps / ML models

Data engineering

Tools

Databricks platform

Apache Spark

Job description

Databricks is seeking a Forward Deployed Engineer to work with customers, owning architecture and leading design decisions. You will implement end‑to‑end data, AI, and application solutions on the Databricks platform, delivering measurable impact with strong customer empathy.

The role combines hands‑on engineering with strategic guidance, working across data engineering, AI, and enterprise customer contexts, and requires travel to client sites up to 20%.