Summary: The Senior Supply Chain Data Modeler role involves designing scalable data models that support enterprise data warehouses and analytics initiatives, requiring expertise in enterprise data modeling and cloud data platforms. The position emphasizes collaboration with business stakeholders and technical teams to ensure data models align with business objectives and architecture standards. The ideal candidate will have extensive experience with Erwin Data Modeler and a strong understanding of supply chain processes. This is a contract position that is fully remote.
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.
Key Skills:
- 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.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
- 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.
- 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.
- 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.
- Erwin Data Modeler
- Enterprise Data Modeling
- Data Architecture
- SQL
- Azure
- Databricks
- Data Warehouse
- Data Lake
- Data Governance
- Source-to-Target Mapping
- Data Lineage
- Supply Chain Domain
- ETL / ELT
- ERP Integration
- SAP / Oracle / Blue Yonder / Manhattan / JDA