Senior Solutions Architect — Data & AI Strategy

WinsAbove; Northern (KY); Hybrid; 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, 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 or senior technical roles.
• Strong Python and SQL coding, with live-coding ability.
• Expertise in distributed data systems architecture and lakehouse patterns.
• Proficiency with the Databricks Platform and cloud deployments.
• Experience leading architecture discussions with senior stakeholders.
• Bachelor's or Master's in CS/Engineering or equivalent experience.

Responsibilities

• Own end-to-end technical strategy for accounts from discovery through deployment and consumption growth.
• Lead complex 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 Databricks’ differentiation through custom-built solutions.
• Coordinate cross-functional resources to deliver comprehensive solutions for complex customer needs.
• Influence product direction by providing feedback on customer requirements and competitive gaps.

Skills

Python

SQL

Distributed data

Cloud platforms

Technical leadership

Education

CS/Engineering degree

Tools

Databricks

AWS

Azure

GCP

Job description

Databricks 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.