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Clera

Resident Solution Architect (Databricks)

Posted 5 hours ago
$80 per hour
10+ years experience
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AI Summary

Lead and deliver end-to-end Databricks implementation projects at an enterprise scale. Design and architect Lakehouse Platform solutions while providing technical consulting and advisory support throughout the engagement lifecycle.

About the Role

This is a senior, hands-on Solution Architect position embedded within a data infrastructure and analytics consulting practice. You'll serve as a primary technical authority on Databricks implementations, guiding enterprise clients through complex data platform build-outs and ensuring delivery meets production-grade standards.

What You'll Do

  • Lead and deliver end-to-end Databricks implementation projects at enterprise scale.

  • Design and architect Lakehouse Platform solutions aligned with client business needs and best practices.

  • Apply deep Apache Spark expertise to optimize distributed workloads, including Spark runtime tuning and scalability improvements.

  • Advise on cloud platform architecture across AWS, Azure, and/or GCP environments.

  • Establish and support CI/CD pipelines for reliable, repeatable production deployments.

  • Incorporate MLOps practices into platform design and delivery.

  • Provide technical consulting and advisory support throughout the engagement lifecycle.

What We're Looking For

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

  • Proven hands-on delivery of 6–8+ Databricks implementation projects.

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

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

  • Databricks Data Engineering Professional Certification (strongly preferred).

  • Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP); multi-cloud experience is a plus.

  • 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.

  • 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 (North America).

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