Summary Introduction:

Design, implement, optimize enterprise data architecture and models that represent complex data using relational, dimensional, and NoSQL databases, and ensure data is structured for high performance, clarity, and long-term scalability across both operational and analytical systems. Data Modeler will be the translator between business stakeholders and data engineering teams.

Key Responsibilities: 

• Assessment - Review current data models to understand the AS-IS environment.
• Conceptual, Logical, and Physical Modeling - Plan, design and maintain blueprints of the TO-BE data models for OLTP (operational), OLAP (analytical), and Enterprise Data Lakehouse environments and how data will be stored, managed and used.
• Business Alignment - Understand business processes and translate them into robust data requirements and review current report design documents to understan...