Resident Solution Architect (Databricks)

About the Role

This is a senior, hands-on Solution Architect role focused on Databricks, sitting within a data infrastructure and analytics consulting practice. You will lead and deliver enterprise-scale Databricks implementations for complex clients, acting as a trusted technical authority on the Lakehouse Platform.

What You'll Do

Architect and deliver end-to-end Databricks implementations across client engagements at enterprise scale.

Design and optimize large-scale data platforms with a focus on performance tuning, scalability, and best practices.

Apply deep expertise in Apache Spark and distributed computing, including Spark runtime internals, to solve complex data engineering challenges.

Guide clients on Databricks Lakehouse Platform capabilities, current features, and recommended architecture patterns.

Integrate CI/CD pipelines to support production-grade deployments and ongoing data platform operations.

Apply working knowledge of MLOps practices within the broader data and AI enablement context.

Engage across one or more major cloud platforms (AWS, Azure, or GCP) to deliver cloud-native data solutions.

What We're Looking For

10+ years of consulting experience, including 7+ years focused on Data Engineering, Data Platforms, and Analytics.

Proven track record delivering 6 to 8 or more Databricks implementation projects in a hands-on Solution Architect capacity.

Databricks Data Engineering Professional Certification (strongly preferred).

Strong expertise in Apache Spark and distributed computing, including internals-level knowledge of the Spark runtime.

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

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 deployments.

Working knowledge of MLOps concepts and tooling.

Background in performance tuning, optimization, and scalability of large-scale data platforms.

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. Visa sponsorship is not available.

Location

Fully remote, open to candidates based in North America.