Senior Data & AI Field Architect

Databricks; Portland (OR); On-site; USD 182,000 - 250,000; Full time

Job summary

Databricks is seeking a Forward Deployed Engineer to partner with customers, own architecture, and deliver end-to-end data and AI solutions on the Databricks Platform. You will lead design decisions, implement production-grade systems, and embed with customer teams to ensure measurable outcomes.

Based in the United States with Bay Area preference and willingness to travel up to 20%, you will work across data engineering, AI, and application development while maintaining customer empathy and

Qualifications

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering.
• Comfortable writing code in Python, Scala, or JavaScript/TypeScript.
• Working knowledge of two or more Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
• Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments.
• Working knowledge of MLOps, ML/AI models and AI APIs.
• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
• Documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range
• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

Responsibilities

• Lead production-grade data and AI projects by delivering reference architectures and custom applications.
• Deliver end-to-end systems spanning data engineering, AI, and application development.
• Embed with customer teams to understand challenges and deliver impact.
• Own architecture decisions to ensure secure, scalable solutions.
• Collaborate with engineering and customer teams to meet needs.
• Provide feedback to product and support for rapid issue resolution.
• Contribute accelerators and best practices to scale across accounts.

Skills

Data engineering

Cloud platforms

Apache Spark

CI/CD

MLOps

Client engagement

Travel 20%

Tools

Python

Scala

JavaScript/TypeScript

CI/CD tooling

Spark runtime internals

Job description

Databricks is seeking a Forward Deployed Engineer to partner with customers, own architecture, and deliver end-to-end data and AI solutions on the Databricks Platform. You will lead design decisions, implement production-grade systems, and embed with customer teams to ensure measurable outcomes.

Based in the United States with Bay Area preference and willingness to travel up to 20%, you will work across data engineering, AI, and application development while maintaining customer empathy and