Senior Solutions Architect, Data & ML Platform

Databricks; Pittsburgh (Allegheny County); On-site; USD 180,000 - 248,000; Full time

Job summary

Databricks seeks a Solutions Architect to own the technical strategy for customers, lead architecture discussions, and drive platform adoption across data engineering, ML/AI, and real-time analytics. You will act as a trusted advisor to customer architects, guiding production deployments and governance considerations on public clouds.

You will develop a technical specialization, lead cross-functional delivery, and influence product direction with structured feedback on customer needs and

Qualifications

• 6+ years in solutions architecture, data engineering, or senior technical roles.
• Strong coding in Python and SQL with live coding and debugging demonstrated.
• Deep expertise in scalable data systems, lakehouse patterns, and cloud-native platforms.
• Proficiency with Databricks Platform and one emerging specialization.
• Ability to lead architecture discussions with senior stakeholders and perform design reviews.
• Experience deploying to public clouds (AWS, Azure, GCP) with governance considerations.

Responsibilities

• Own end-to-end technical strategy for accounts from discovery to production deployment.
• Lead architecture discussions spanning data engineering, ML/AI, and real-time analytics.
• Serve as trusted advisor to customer architects and engineering leads.
• Drive platform adoption and demonstrate differentiation through custom solutions.
• Develop an emerging technical specialization as a go-to team resource.
• Coordinate cross-functional resources to deliver complex customer solutions.
• Influence product direction with customer feedback and competitive insights.

Skills

Python

SQL

Distributed data systems

Databricks platform

Architecture discussions

Cloud deployments

Communication

Education

Bachelor's or Master's in CS/Engineering

Job description

Databricks seeks a Solutions Architect to own the technical strategy for customers, lead architecture discussions, and drive platform adoption across data engineering, ML/AI, and real-time analytics. You will act as a trusted advisor to customer architects, guiding production deployments and governance considerations on public clouds.

You will develop a technical specialization, lead cross-functional delivery, and influence product direction with structured feedback on customer needs and