About The Position

We are seeking a Senior Data Solutions Consultant with deep expertise in Apache Spark and Databricks. 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.

Requirements

  • 5–10 years in data engineering or analytics solution delivery.
  • 3+ years of hands-on expertise in Databricks, including job optimization, debugging, and workload governance.
  • Deep understanding of Spark Internals, PySpark, and Databricks SQL (DBSQL) performance tuning.
  • Strong knowledge of Delta Lake, Structured Streaming, and cloud infrastructure.
  • Proven ability to identify and solve complex technical problems with minimal oversight.
  • Exceptional skills to simplify technical complexity for business leaders.

Nice To Haves

  • Databricks Certified Data Engineer Professional.
  • Experience with Delta Live Tables (DLT) and Unity Catalog (UC).
  • Experience in large-scale data migration or AI-assisted analytics in enterprise environments.

Responsibilities

  • Lead engagements from discovery to delivery with full ownership and accountability.
  • Architect, implement, and optimize large-scale Spark/Databricks workloads focusing on scalability and cost-efficiency.
  • Apply expert-level Spark fundamentals to troubleshoot and tune distributed data jobs and SQL workloads.
  • Design and execute PoCs and workshops to demonstrate solution vision and inspire customer confidence.
  • Act as a technical advocate for customers, anticipating issues and applying creative, data-driven solutions.
  • Collaborate with product and engineering teams to improve customer experience and platform features.
  • Champion best practices in PySpark, Databricks, and Lakehouse design while mentoring junior engineers.
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