A company is looking for a Data Modeler to design and implement data models for a multi-site warehouse intelligence platform on Google Cloud Platform (GCP).
Key Responsibilities :
Design a canonical data model that normalizes data from multiple WMS systems into a unified domain layer
Create the bronze / silver / gold data layer architecture, including raw CDC events and aggregated datasets for reporting
Optimize table designs for analytics queries and build dimensional models for embedded analytics and reporting
Required Qualifications :
6+ years of experience in data modeling roles, including logical, physical, dimensional, and domain modeling
3+ years of experience with Snowflake, including data engineering and data warehousing
Strong understanding of supply chain / logistics / warehousing domain knowledge
Expertise in SQL, including advanced query design and performance tuning
Experience with cloud data platforms, specifically GCP or equivalent AWS / Azure
Data Modeler • Wichita, Kansas, United States