Senior Data & AI Solutions Architect

Databricks Inc.; West (TX); On-site; USD 180,000 - 248,000; Full time

Job summary

Databricks is seeking a Solutions Architect in the United States to lead the technical strategy for customers, owning architecture discussions and driving platform adoption.

You will work with data engineering, ML/AI, and real-time analytics teams to design scalable, production-grade solutions and serve as a trusted advisor to customer leads and architects.

This role requires 6+ years in relevant fields, strong Python/SQL skills, cloud deployment experience, and willingness to travel up to 30%.

Qualifications

• 6+ years in solutions architecture or senior technical roles.
• Strong Python and SQL coding and debugging skills.
• Experience with production cloud deployments (AWS/Azure/GCP) and data platforms.

Responsibilities

• Own the end-to-end technical strategy for accounts, from discovery to production deployment and growth.
• Lead complex architecture discussions—designing scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics.
• Serve as a trusted technical advisor to customer architects, engineering leads, and Directors.
• Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation with custom-built solutions.
• Develop and declare an emerging technical specialization (archetype) for the team.
• Orchestrate cross-functional resources to deliver comprehensive solutions for complex customer needs.
• Influence product direction by providing structured feedback on customer requirements and gaps.

Skills

Solutions Architecture

Python

SQL

Distributed Data Systems

Databricks Platform

Communication

Travel 30%

Education

CS/Engineering degree

Tools

Databricks Platform

Job description

Databricks is seeking a Solutions Architect in the United States to lead the technical strategy for customers, owning architecture discussions and driving platform adoption.

You will work with data engineering, ML/AI, and real-time analytics teams to design scalable, production-grade solutions and serve as a trusted advisor to customer leads and architects.

This role requires 6+ years in relevant fields, strong Python/SQL skills, cloud deployment experience, and willingness to travel up to 30%.