Healthtech Solutions Architect: Data & AI Strategy

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

Benefits offered by this job

Databricks certifications

Industry domain expertise

Job summary

Databricks in San Francisco seeks a Solutions Architect to own the technical strategy for customers, lead architecture discussions, and drive platform adoption.

You will develop a technical specialization, serve as a trusted advisor to customer leaders, and orchestrate cross‑functional teams across data engineering, ML/AI, and real‑time analytics. Strong cloud experience and Python/SQL skills are required.

Qualifications

• 6+ years in solutions architecture, data engineering, or related senior roles.
• Strong Python and SQL, with live coding and debugging abilities.
• Experience with distributed data systems and cloud deployments.
• Proven ability to lead architecture discussions with senior stakeholders.
• Bachelor's or Master's degree in CS, Engineering, or quantitative field.

Responsibilities

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

Skills

Python

SQL

Data architecture

Databricks

Stakeholder leadership

Communication

Cloud deployments

Live coding

Education

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

Tools

AWS

Azure

GCP

Job description

Databricks in San Francisco seeks a Solutions Architect to own the technical strategy for customers, lead architecture discussions, and drive platform adoption.

You will develop a technical specialization, serve as a trusted advisor to customer leaders, and orchestrate cross‑functional teams across data engineering, ML/AI, and real‑time analytics. Strong cloud experience and Python/SQL skills are required.