Resident Solution Architect (Databricks)

About the Role

We are a privately held IT and MarTech consultancy working with enterprise clients across regulated industries. We are looking for a senior, hands-on Resident Solution Architect with deep expertise in the Databricks Lakehouse Platform to join our team on a W2 contract basis. In this role, you will lead and deliver large-scale Databricks implementations, advise clients on platform best practices, and serve as a trusted technical authority across data engineering and analytics engagements.

What You'll Do

• Architect, design, and deliver end-to-end Databricks implementations for enterprise clients.

• Serve as a hands-on solution architect, guiding technical teams through complex data platform builds.

• Apply deep knowledge of the Databricks Lakehouse Platform — including current capabilities, Delta Lake, and best practices — to drive client outcomes.

• Leverage Apache Spark expertise (including runtime internals) for performance tuning, optimization, and scalability of large-scale data platforms.

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

• Advise on and implement MLOps workflows in collaboration with data science teams.

• Work across one or more major cloud platforms (AWS, Azure, GCP) to deliver scalable, cloud-native solutions.

• Translate complex technical requirements into actionable architectural recommendations for both technical and non-technical stakeholders.

What We're Looking For

Required:

• Must be authorized to work in the United States without visa sponsorship (W2 contract — no C2C or 1099).

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

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

• Strong understanding of the Databricks Lakehouse Platform, including platform capabilities and best practices.

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

• Completed Databricks Data Engineering Professional Certification.

• Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP.

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

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

• Working knowledge of MLOps principles and tooling.

Nice to Have:

• Multi-cloud experience spanning two or more of AWS, Azure, and GCP.

Compensation & Benefits

• Pay Rate: Up to $80/hr on W2

• W2 contract engagement

Location

• Based in San Ramon, CA

• Visa sponsorship is not available for this role — candidates must be authorized to work in the US without sponsorship.