Data Modeler

Primary responsibilities of the Data Modeler include designing, developing, and maintaining enterprise-grade data models that support critical business initiatives, analytics, and operational systems. The ideal candidate is proficient in industry-standard data modeling tools (with hands-on expertise in erwin Data Modeler) and has deep experience with Oracle and SQL Server databases. The candidate will also translate complex business requirements into robust, scalable, and normalized data models while ensuring alignment with data governance, performance, and integration standards.

Responsibilities

• Design and develop conceptual, logical, and physical data models using erwin Data Modeler (required).
• Generate, review, and optimize DDL (Data Definition Language) scripts for database objects (tables, views, indexes, constraints, partitions, etc.).
• Perform forward and reverse engineering of data models from existing Oracle and SQL Server databases.
• Collaborate with data architects, DBAs, ETL developers, and business stakeholders to gather and refine requirements.
• Ensure data models adhere to normalization standards (3NF / BCNF), data integrity, and referential integrity.
• Support dimensional modeling (star / snowflake schemas) for data warehousing and analytics use cases.
• Conduct model reviews, impact analysis, and version control using erwin or comparable tools.
• Participate in data governance initiatives, including metadata management, naming standards, and lineage documentation.
• Optimize models for performance, scalability, and maintainability across large-scale environments.
• Assist in database migrations, schema comparisons, and synchronization between environments (Dev / QA / Prod).
• A ssist in optimizing existing Data Solutions
• Follow Data Governance Policy and Information Classification and Protection Policy.
• Participate in design reviews and take guidance from the Data Architecture team members.

Qualifications