Data Modeler

Job Description: Job Summary We are looking for an experienced Data Modeler with strong expertise in the banking domain to design, develop, and maintain enterprise-level data models. The ideal candidate should have deep knowledge of financial data structures, regulatory requirements, and data governance practices, along with hands-on experience in conceptual, logical, and physical data modeling. Key Responsibilities • Design and develop conceptual, logical, and physical data models for banking applications such as Retail Banking, Corporate Banking, Risk, Compliance, Payments, and Lending. • Work closely with business stakeholders, data architects, and developers to gather and translate business requirements into scalable data models. • Develop and maintain data dictionaries, metadata, and data lineage documentation. • Ensure data models comply with banking regulations and standards (e.g., BCBS 239, GDPR where applicable). • Optimize data structures for performance, scalability, and maintainability. • Support data integration, ETL processes, and data warehousing initiatives. • Perform data analysis and profiling to ensure data quality and consistency. • Collaborate with governance teams to implement data quality and data governance frameworks. • Participate in architecture discussions and contribute to enterprise data strategy. • Maintain version control and ensure proper documentation of all models. Required Skills & Qualifications Technical Skills • Strong expertise in data modeling techniques (ER modeling, dimensional modeling – Star/Snowflake schema). • Hands-on experience with tools like: • ERwin Data Modeler • Informatica PowerDesigner • IBM InfoSphere Data Architect • Proficiency in SQL and database platforms such as: • Oracle, SQL Server, DB2, PostgreSQL • Experience with Data Warehousing concepts and ETL tools (Informatica, Talend, etc.). • Understanding of Big Data platforms (Hadoop, Spark) is a plus. • Familiarity with cloud platforms like AWS, Azure, or GCP is an advantage.