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.
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