Job Description

Our client is building a next-generation Enterprise Data Platform on a modern Lakehouse architecture. As an Enterprise Data Engineer, you will play a key role in designing curated data models, pipelines, and metrics that make data a trusted, business-critical asset across Finance, People, and Business Operations.

This is a highly hands-on role at the heart of a major data transformation. You’ll shape how stakeholders access, interpret, and rely on data, working with one of the most modern data stacks in the industry.

What You’ll Do

  • Build clean, scalable ELT pipelines using dbt, SQL, PySpark, and Databricks.
  • Design curated data models and semantic layers to standardize KPIs across Finance, People, and Operations.
  • Partner closely with business teams to translate complex requirements into clear, reusable data products.
  • Implement data governance and quality controls, including lineage, testing, and role-based acce...

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