Data Modeler

A Data Modeler designs, implements, and maintains robust data architectures and modeling solutions (relational, dimensional, NoSQL) to support enterprise information management, BI, analytics, machine learning, and other business use cases. They drive data strategies, build models (conceptual, logical, physical), ensure performance optimization, and govern modeling standards and best practices.

Exp : 7+ years

Key Responsibilities

• Develop and maintain conceptual, logical, and physical data models for various platforms (RDBMS, ODS, data marts, data lakes).
• Implement new data strategies and designs for all data types and platforms.
• Work with business and technical teams to build data flows and models.
• Define and enforce data modeling standards, best practices, and tools.
• Identify architecture, infrastructure, interfaces, and data source integrations.
• Perform hands-on design, configuration, performance tuning, and POCs.
• Address project requirements independently, raising risks and challenges proactively.

Must-Have Skills & Experience

Skills Required

Erwin, Data Warehouse, Metadata Management, Data Lake, Er Studio