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We are seeking an experienced Senior Supply Chain Data Modeler with expertise in enterprise data modeling, supply chain business processes, and modern cloud data platforms. The ideal candidate will design scalable conceptual, logical, and physical data models that support enterprise data warehouse, data lake, reporting, and analytics initiatives.
This role requires close collaboration with business stakeholders, data architects, engineers, and analytics teams to develop high-quality data models aligned with business objectives and enterprise architecture standards.
Key Responsibilities
Design and maintain conceptual, logical, and physical enterprise data models using Erwin Data Modeler.
Develop scalable data models for enterprise data warehouses, data lakes, and analytics platforms.
Collaborate with business users to gather, analyze, and document business requirements.
Ensure data models comply with enterprise architecture standards and data governance best practices.
Conduct data model reviews and promote modeling standards across teams.
Perform source-to-target mapping and maintain data lineage documentation.
Support enterprise data integration initiatives involving ERP systems.
Partner with ETL/ELT and Data Engineering teams to ensure accurate implementation of data models.
Design data models supporting enterprise reporting and advanced analytics.
Work with cloud-based data platforms including Azure and Databricks.
Required Qualifications
10+ years of experience in enterprise data modeling.
Strong expertise with Erwin Data Modeler.
Extensive experience designing conceptual, logical, and physical data models.
Strong knowledge of enterprise Data Warehouse and Data Lake architectures.
Hands-on experience with SQL and relational database design.
Strong understanding of Supply Chain business processes including:
Order Management
Procurement & Purchasing
Inventory Management
Warehousing & Distribution
Transportation & Logistics
Demand Planning & Forecasting
Vendor/Supplier Management
Fulfillment & Delivery Operations
Experience with Source-to-Target Mapping and Data Lineage.
Strong understanding of Data Governance principles.
Experience working with Azure and Databricks environments.
Experience supporting ERP integrations including SAP, Oracle, Blue Yonder, Manhattan, JDA, or similar enterprise platforms.
Preferred Qualifications
Experience with enterprise data architecture initiatives.
Knowledge of dimensional modeling, Star Schema, and Snowflake Schema.
Experience with modern ETL/ELT tools and cloud data integration frameworks.
Strong analytical and stakeholder communication skills.
