Senior Data & AI Solutions Architect

Databricks Inc.; California; On-site; USD 180,000 - 248,000; Full time

Job summary

Databricks Inc. is seeking a Solutions Architect to lead the technical strategy for customers—owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects.

You will design scalable, production‑grade solutions spanning data engineering, ML/AI, and real-time analytics, while coordinating cross‑functional resources to deliver complex, differentiated deployments that showcase Databricks’ value.

Qualifications

• 6+ years in solutions architecture, data engineering, pre-sales, or equivalent.
• Strong coding in Python and SQL with live coding ability.
• Expertise in scalable data pipelines, streaming, lakehouse patterns.
• Experience deploying on public clouds (AWS/Azure/GCP) with governance.
• Bachelor’s/Master’s in CS/engineering or quantitative field.

Responsibilities

• Own end-to-end technical strategy for accounts from discovery to production deployment.
• Lead architecture discussions across data engineering, ML/AI, and real-time analytics.
• Advise customer architects, engineering leads, and Directors as a trusted advisor.
• Drive platform adoption and competitive wins with custom solutions.
• Coordinate cross-functional resources to deliver complex customer solutions.

Skills

Python

SQL

Distributed data systems

Databricks Platform

Architecture discussions

Production deployments

Cloud platforms

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline

Tools

AWS

Azure

GCP

Job description

Databricks Inc. is seeking a Solutions Architect to lead the technical strategy for customers—owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects.

You will design scalable, production‑grade solutions spanning data engineering, ML/AI, and real-time analytics, while coordinating cross‑functional resources to deliver complex, differentiated deployments that showcase Databricks’ value.