Remote Resident Solutions Architect - Mlops

Experience: <\/b> 5 – 10+ Years
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Location: <\/b> Remote, United States
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Employment Type: <\/b> Full -time
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Role Overview <\/b>
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We are seeking a Senior Data Solutions Consultant <\/b> with deep expertise in Apache Spark and Databricks <\/b> . This role requires a decisive, agentic -forward approach to problem -solving. You will independently lead complex customer engagements, bridging hands -on data engineering excellence with strategic technical leadership. As a trusted advisor, you will proactively build and implement solutions that unlock significant value for our customers.
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Key Responsibilities <\/b>
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• Customer Leadership: <\/b> Lead engagements from discovery to delivery with full ownership and accountability.
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• Architecture & Optimization: <\/b> Architect, implement, and optimize large -scale Spark/Databricks workloads focusing on scalability and cost -efficiency.
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• Spark Expertise: <\/b> Apply expert -level Spark fundamentals to troubleshoot and tune distributed data jobs and SQL workloads.
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• Proactive Delivery: <\/b> Design and execute PoCs and workshops to demonstrate solution vision and inspire customer confidence.
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• Strategic Advocacy: <\/b> Act as a technical advocate for customers, anticipating issues and applying creative, data -driven solutions.
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• Cross -functional Partnership: <\/b> Collaborate with product and engineering teams to improve customer experience and platform features.
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• Mentorship: <\/b> Champion best practices in PySpark, Databricks, and Lakehouse design while mentoring junior engineers.
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  Required Qualifications <\/b>
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  • Experience: <\/b> 5–10 years in data engineering or analytics solution delivery.
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  • Databricks Mastery: <\/b> 3+ years of hands -on expertise, including job optimization, debugging, and workload governance.
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  • Technical Depth: <\/b> Deep understanding of Spark Internals <\/b> , PySpark, and Databricks SQL (DBSQL)<\/b> performance tuning.
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  • Modern Lakehouse: <\/b> Strong knowledge of Delta Lake, Structured Streaming, and cloud infrastructure.
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  • Autonomy: <\/b> Proven ability to identify and solve complex technical problems with minimal oversight.
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  • Communication: <\/b> Exceptional skills to simplify technical complexity for business leaders.
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    Preferred Qualifications <\/b>
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    • Certifications: <\/b> Databricks Certified Data Engineer Professional.
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    • Advanced Skills: <\/b> Experience with Delta Live Tables (DLT) and Unity Catalog (UC).
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    • Consulting Background: <\/b> Experience in large -scale data migration or AI -assisted analytics in enterprise environments.
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