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Clera

Resident Solution Architect (Databricks)

Posted 8 hours ago
North America
$80 per hour
10+ years experience
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AI Summary

Lead and deliver end-to-end Databricks implementation projects for enterprise clients from architecture design to production deployment. Advise clients on platform capabilities and optimize large-scale data platforms for performance and reliability.

About the Role

This is a senior, hands-on Solution Architect role focused on Databricks, sitting within a data infrastructure and analytics practice that serves complex enterprise clients. You will own end-to-end Databricks implementations and translate deep platform expertise into scalable, production-ready data lakehouse solutions that directly drive client outcomes.

What You'll Do

  • Lead and deliver Databricks implementation projects at enterprise scale, from architecture design through production deployment.

  • Apply strong hands-on expertise in Apache Spark and distributed computing, including Spark runtime internals, to solve complex data engineering challenges.

  • Design and optimize large-scale data platforms for performance, scalability, and reliability across major cloud environments.

  • Establish and apply CI/CD pipeline best practices for production data platform deployments.

  • Integrate MLOps patterns into data platform solutions where appropriate.

  • Advise clients on Databricks Lakehouse Platform capabilities, best practices, and roadmap alignment.

What We're Looking For

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

  • Hands-on delivery of 6 to 8 or more Databricks implementation projects in a Solution Architect capacity.

  • Established Databricks Architect or Databricks Solution Architect background, not adjacent data engineering experience alone.

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

  • Databricks Data Engineering Professional Certification (required or strongly preferred).

  • 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 practices.

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

  • Must be authorized to work in the United States without visa sponsorship (W2 contract).

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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