Enterprise Data Modeller - ETL Tools

Description :

We are seeking an experienced Enterprise Data Modeler with a strong background in Supply Chain Management.

The role involves designing and maintaining enterprise-level data models that support supply chain operations, analytics, and decision-making.

Key Responsibilities :

- Develop and maintain enterprise data models aligned with supply chain processes (procurement, manufacturing, logistics, inventory, and distribution).

- Collaborate with business stakeholders to translate supply chain requirements into logical and physical data models.

- Ensure data integrity, consistency, and scalability across enterprise systems.

- Work closely with data architects, engineers, and analysts to implement models in Snowflake, SAP, or other enterprise platforms.

- Support data governance initiatives, including metadata management and master data alignment.

- Optimize data structures for reporting, analytics, and advanced use cases (AI/ML, predictive supply chain).

- Document data definitions, relationships, and standards for enterprise-wide adoption.

Must-Have Skills :

- Strong expertise in data modeling techniques (conceptual, logical, physical).

- Hands-on experience with supply chain data domains (orders, shipments, inventory, vendor management, demand planning).

- Proficiency in SQL and data warehouse platforms (Snowflake, Redshift, SAP HANA, or similar).

- Experience with ETL/ELT tools (Matillion, dbt, etc.).

- Knowledge of data governance frameworks and best practices.

Good-to-Have Skills :

- Exposure to supply chain planning tools (SAP IBP, Kinaxis, Blue Yonder).

- Familiarity with cloud platforms (AWS, Azure, GCP).

- Experience with data visualization tools (Power BI, Tableau).

- Understanding of AI/ML applications in supply chain analytics.