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Role and Responsibilities:

  • Architect and lead the implementation of an enterprise lakehouse on Databricks (Delta Lake, Unity Catalog, Photon, Workflows) across one or more major clouds (AWS, Azure, or GCP).
  • Design scalable batch and streaming data pipelines using PySpark, Spark SQL, Structured Streaming, and Delta Live Tables.
  • Define and enforce platform standards for data modeling, CI/CD, code quality, testing, observability, and cost optimization.

Preferred Qualifications:

  • 8+ years of data engineering experience, with 4+ years building production workloads on Databricks.
  • Deep expertise in Apache Spark (PySpark and Spark SQL) including performance tuning and partitioning strategy.
  • Production experience on at least one major cloud (AWS, Azure, or GCP) including networking and IAM.

Bounteous

Bounteous is a premier end-to-end digital transformation consultancy partnering with ambitious brands to create digital solutions. With over 4,000 expert team members across the Americas, APAC, and EMEA, we deliver innovative solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing.

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