Senior Data & AI Solutions Architect

Databricks; Bellevue (WA); Hybrid; USD 182,000 - 250,000; Full time

Job summary

Databricks is seeking a Forward Deployed Engineer based in the United States (Washington/Bellevue area) to work with customers, owning architecture and guiding end-to-end data, AI, and application solutions built on the Databricks Platform. This hands-on, client-facing role emphasizes production-grade delivery and customer empathy.

You will collaborate with engineering, product, and customer teams, design scalable architectures, integrate with client systems, and travel up to 20% to spend

Qualifications

• 6+ years experience in data engineering, data platforms, or software engineering.
• Proficient in Python, Scala, or JavaScript/TypeScript.
• Experience with two or more cloud ecosystems (AWS, Azure, GCP).
• Deep experience with distributed computing using Apache Spark.
• Familiar with MLOps and ML/AI models.
• Ability to design production-grade data architectures and end-to-end applications.

Responsibilities

• Lead production-grade projects for customers, delivering reference architectures and data/AI solutions.
• Own architecture decisions ensuring security, scalability, and alignment with Databricks best practices.
• Collaborate with engineering, product, and customer teams to meet engagement goals.
• Embed with customer teams to understand challenges and deliver measurable impact.
• Travel to customers up to 20% of the time.

Skills

Data engineering

Data platforms

Software engineering

Python

Scala

JavaScript/TypeScript

AWS

Azure

GCP

Apache Spark

CI/CD

MLOps

Documentation

Stakeholder management

Tools

Apache Spark

CI/CD tools

Job description

Databricks is seeking a Forward Deployed Engineer based in the United States (Washington/Bellevue area) to work with customers, owning architecture and guiding end-to-end data, AI, and application solutions built on the Databricks Platform. This hands-on, client-facing role emphasizes production-grade delivery and customer empathy.

You will collaborate with engineering, product, and customer teams, design scalable architectures, integrate with client systems, and travel up to 20% to spend