Resident Solution Architect (Databricks).

About the Role

This is a senior, hands-on Solution Architect role focused on delivering large-scale Databricks implementations for enterprise clients. You'll sit at the intersection of data engineering and client advisory, helping organizations architect and optimize modern Lakehouse platforms. The work has real impact — shaping production-grade data infrastructure across complex, regulated environments.

What You'll Do

• Lead end-to-end Databricks implementation projects, from architecture design through production deployment.

• Advise enterprise clients on Lakehouse platform best practices, capabilities, and roadmap decisions.

• Tune and optimize large-scale distributed data systems for performance and scalability.

• Design and support CI/CD pipelines for data platform production deployments.

• Apply MLOps patterns to bridge data engineering and machine learning workflows.

• Serve as a hands-on technical lead, working directly in cloud environments (AWS, Azure, and/or GCP).

What We're Looking For

• 10+ years of consulting experience, with at least 7 years focused on Data Engineering, Data Platforms, and Analytics.

• Hands-on delivery of 6–8+ Databricks implementation projects at enterprise scale.

• Strong expertise in Apache Spark and distributed computing, including Spark runtime internals.

• Deep understanding of the Databricks Lakehouse Platform, including current capabilities and best practices.

• Databricks Data Engineering Professional Certification (strongly preferred).

• Proven experience with performance tuning, optimization, and scalability of large-scale data platforms.

• Hands-on experience with at least one major cloud platform — AWS, Azure, or GCP; multi-cloud experience is a plus.

• Solid understanding of CI/CD pipelines for production data deployments.

• Working knowledge of MLOps concepts and practices.

• Must be authorized to work in the United States; visa sponsorship is not available for this role.

Compensation & Benefits

Up to $80/hr on W2. No visa sponsorship available.

Location

Fully remote — open to candidates based anywhere in North America.