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Data Warehouse Architect

  • Lansing, MI

Required qualifications

Bachelor’s degree. The detailed JD specifies Computer Science, Data Science, or Information Systems.

4+ years building extract-and-load pipelines that ingest relational, semi-structured, and unstructured data into an enterprise data lake on AWS, Azure, or Google Cloud.

4+ years transforming cloud data lake datasets into data products with attributes traceable to critical data elements in source systems.

2+ years enforcing data-sharing policies so subscribers receive only the data product version they’re entitled to access.

Technical focus Lakehouse and Medallion architecture, Python/PySpark, SQL, Parquet, and star-schema modeling. Preferred experience includes Databricks or SageMaker, GitHub/Jenkins/Terraform, and cloud governance tools that automate access controls at subscription.