Solutions Architect: Data & AI Strategy Lead

Databricks Inc.; Virginia; 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 combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain.

Qualifications

• 6+ years in solutions architecture, data engineering, or senior hands-on roles.
• Strong coding in Python and SQL.
• Deep expertise in distributed data systems and lakehouse patterns.
• Proficiency with the Databricks Platform and cloud deployments.
• Ability to lead architecture discussions with senior stakeholders.
• Bachelor's or Master's degree in a quantitative field; US citizen.

Responsibilities

• Own end-to-end technical strategy for accounts from discovery to deployment.
• Lead architecture discussions and design scalable, production-grade solutions.
• Advise customer technical leads, engineers, and Directors.
• Drive platform adoption and consumption growth within accounts.
• Coordinate cross-functional resources to meet complex customer needs.

Skills

Solutions architecture

Python

SQL

Distributed data systems

Cloud deployments

Communication

Architectural leadership

Education

Bachelor's/Master's in CS/Engineering

Tools

Databricks Platform

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 combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain.