Data Modeler positions focus on delivering results in their domain. This page aggregates open Data Modeler roles and what employers typically expect.
We are seeking an experienced **Data Modeler with 10+ years of experience** in -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.
Salary estimate
$60,000 – $81,000/yr
Provided by the employer.
Skills for this role
AzureSAPETL
Resume tips for Data Modeler applicants
Lead with measurable achievements relevant to Data Modeler (numbers, scope, impact).
Mirror the exact keywords from the Data Modeler posting so applicant tracking systems rank you higher.
List the specific tools and skills the role names (e.g. SQL, Snowflake, Data Science, Automation).
Keep it to one page for early-career, two pages for senior Data Modeler candidates.
Interview preparation
Prepare concrete STAR-format stories that show Data Modeler outcomes you drove.
Research the employer's product and recent news before the interview.
Be ready to explain how you'd approach a typical Data Modeler problem end to end.
Have thoughtful questions ready about the team, tools and success metrics.
About Lumiere Systems
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