Healthtech AI Solutions Architect — Platform Strategy

Cacheflow; San Francisco (CA); On-site; USD 180,000 - 248,000; Full time

Job summary

Databricks, a leading Data & AI company based in San Francisco, seeks a Solutions Architect to own the technical strategy for key accounts. You will drive architecture discussions across data engineering, ML/AI, and real-time analytics, acting as a trusted advisor to customer technical leaders.

You will lead complex solutions, push platform adoption, and contribute to product direction while developing a technical specialization within your domain. Join a team that shapes modern data platforms.

Qualifications

• 6+ years in solutions architecture or equivalent senior technical roles.
• Strong live coding skills in Python and SQL.
• Deep expertise in distributed data systems, pipelines, and lakehouse patterns.
• Proven ability to lead architecture discussions with senior stakeholders.
• Experience with production deployments on AWS/Azure/GCP.
• Bachelor's or Master's degree in Computer Science or Engineering.

Responsibilities

• Own the end-to-end technical strategy for accounts from discovery to deployment.
• Lead complex architecture discussions across data engineering, ML/AI, and real-time analytics.
• Serve as a trusted technical advisor to customer architects and leads.
• Drive technical wins by demonstrating differentiation with bespoke solutions.
• Develop a technical specialization and become a go-to resource for the team.
• Coordinate cross-functional resources to deliver comprehensive solutions for complex needs.
• Influence product direction with feedback on requirements and gaps.

Skills

Solutions architecture

Python

SQL

Distributed data systems

Databricks platform

Architecture leadership

Cloud deployments

Communication

Education

CS/Engineering degree

Tools

AWS

Azure

GCP

Job description

Databricks, a leading Data & AI company based in San Francisco, seeks a Solutions Architect to own the technical strategy for key accounts. You will drive architecture discussions across data engineering, ML/AI, and real-time analytics, acting as a trusted advisor to customer technical leaders.

You will lead complex solutions, push platform adoption, and contribute to product direction while developing a technical specialization within your domain. Join a team that shapes modern data platforms.