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EmploymentFull-time
Work modeRemote / location-flexible
CountryUnited States
Overview
ABOUT THE ROLE
Full job description
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.
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