Senior Data & AI Solutions Architect

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

Job summary

Databricks is seeking a Solutions Architect to lead the technical strategy for customers, owning architecture discussions and driving platform adoption across data engineering, ML/AI, and real-time analytics.

You will collaborate with customer architects and executives, align technical outcomes with business value, and develop a growing specialization while coordinating cross-functional teams to deliver complex solutions.

Qualifications

• 6+ years in solutions architecture or senior tech roles
• Proficient in Python and SQL with live coding ability
• Deep expertise in distributed data systems and lakehouse patterns
• Proficient with Databricks Platform and one technical specialization
• Experience leading architecture discussions with stakeholders
• Experience deploying on AWS, Azure, or GCP
• Track record of driving platform adoption and growth
• Excellent communication translating architectures to business value
• Bachelor's or Master's in CS/Engineering or equivalent

Responsibilities

• Own end-to-end technical strategy for accounts from discovery to production deployment and growth
• Lead complex architecture discussions spanning data engineering, ML/AI, and real-time analytics
• Advise customer architects, engineering leads, and Directors as trusted advisor
• Drive technical wins with custom-built solutions
• Develop emerging technical specialization to become a go-to resource
• Coordinate cross-functional resources to deliver complex customer solutions
• Influence product direction with feedback on requirements and gaps

Skills

Python

SQL

Data architecture

Cloud platforms

Architectural leadership

Whiteboarding

Education

Bachelor's or Master's in CS/Engineering or equivalent

Tools

Databricks Platform

AWS

Azure

GCP

Job description

Databricks is seeking a Solutions Architect to lead the technical strategy for customers, owning architecture discussions and driving platform adoption across data engineering, ML/AI, and real-time analytics.

You will collaborate with customer architects and executives, align technical outcomes with business value, and develop a growing specialization while coordinating cross-functional teams to deliver complex solutions.