Why This Role Stands Out
This hybrid Data Modeler role offers a fantastic opportunity to leverage your extensive experience in enterprise-scale data modeling and supply chain processes, with the flexibility of remote work. If you're a seasoned professional with a knack for designing robust data solutions using tools like Erwin, this position is an excellent fit to further your career. Apply today to explore this exciting prospect!
Quick Overview
Job Description
Data Modeler – Remote
Duration: 12+ Months
Rate: DOE
· We are seeking an experienced Data Modeler with 10+ years of experience.
· Designing and implementing enterprise-scale data models
· Strong expertise in Supply Chain processes and Erwin Data Modeler.
· The ideal candidate will work closely with business stakeholders, data architects, data engineers, and analytics teams to create scalable and efficient data models supporting supply chain operations, reporting, and analytics initiatives.
· Design and maintain conceptual, logical, and physical data models using Erwin Data Modeler.
· Develop scalable data models for enterprise data warehouse, data lake, and analytics platforms.
· Ensure data models align with business requirements, data governance standards, and architectural principles.
· Perform data model reviews and enforce modeling best practices.
· Experience in supply chain domain and understanding of Order Management, Procurement & Purchasing, Inventory Management, Warehousing & Distribution, Transportation & Logistics
· Demand Planning & Forecasting, Vendor/Supplier Management, Fulfillment and Delivery Operations.
· Collaborate with business users to gather and analyze requirements.
· Perform source-to-target mapping and data lineage analysis.
· Support data integration initiatives involving ERP systems such as SAP, Oracle, JDA, Manhattan, Blue Yonder, or similar platforms.
· Work with ETL/ELT teams to ensure accurate implementation of data models.
· Understanding of Azure and Databricks.
Skills
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