Solutions Architect - Agencies: Data & AI Platform Strategy

Databricks; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Databricks is seeking a Solutions Architect to lead the technical strategy for customers, owning architecture discussions, driving platform adoption, and acting as a trusted advisor to customer technical leads. You will develop deep specialization and coordinate cross-functional resources to deliver complex data and AI solutions.

Qualifications include 6+ years in relevant roles, strong Python/SQL skills, and experience with distributed data systems and cloud deployments across AWS/Azure/GCP.

Qualifications

• 6+ years in solutions architecture or equivalent senior technical roles.
• Strong coding in Python and SQL with live coding and debugging abilities.
• Deep expertise in distributed data systems architecture and cloud-native data platforms.
• Ability to travel up to 30%.

Responsibilities

• Own the end-to-end technical strategy for accounts from discovery to deployment.
• Lead architecture discussions spanning data engineering, ML/AI, and real-time analytics.
• Serve as a trusted technical advisor to customer architects, engineering leads, and Directors.
• Drive technical wins by demonstrating differentiation with custom-built solutions.
• Coordinate cross-functional resources to deliver comprehensive solutions.

Skills

Python

SQL

Architecture design

Cross-functional leadership

Cloud deployment

Stakeholder communication

Education

Bachelor's or Master's in Computer Science or related field

Tools

Databricks Platform

Job description

Databricks is seeking a Solutions Architect to lead the technical strategy for customers, owning architecture discussions, driving platform adoption, and acting as a trusted advisor to customer technical leads. You will develop deep specialization and coordinate cross-functional resources to deliver complex data and AI solutions.

Qualifications include 6+ years in relevant roles, strong Python/SQL skills, and experience with distributed data systems and cloud deployments across AWS/Azure/GCP.