Resident Solution Architect (Databricks)

Department: Engineering

Location: remote

Employment Type: FullTime

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 Youll 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 Were 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.