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
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Lead and deliver end-to-end Databricks implementation projects at enterprise scale.
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Design and architect Lakehouse Platform solutions aligned with client business needs and best practices.
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Apply deep Apache Spark expertise to optimize distributed workloads, including Spark runtime tuning and scalability improvements.
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Advise on cloud platform architecture across AWS, Azure, and/or GCP environments.
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Establish and support CI/CD pipelines for reliable, repeatable production deployments.
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Incorporate MLOps practices into platform design and delivery.
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Provide technical consulting and advisory support throughout the engagement lifecycle.
What We're Looking For
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10+ years of consulting experience, with at least 7 years focused on Data Engineering, Data Platforms, and Analytics.
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Proven hands-on delivery of 6–8+ Databricks implementation projects.
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Strong understanding of the Databricks Lakehouse Platform, including current capabilities and best practices.
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Deep expertise in Apache Spark and distributed computing, including Spark runtime internals.
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Databricks Data Engineering Professional Certification (strongly preferred).
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Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP); multi-cloud experience is a plus.
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Experience with performance tuning, optimization, and scalability of large-scale data platforms.
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Solid understanding of CI/CD pipelines for production deployments.
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Working knowledge of MLOps.
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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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