Key Responsibilities :

- Design, develop, and maintain conceptual, logical, and physical data models based on business and technical requirements.

- Analyze business requirements and translate them into scalable and efficient data structures.

- Define entities, attributes, relationships, keys, constraints, and data definitions across enterprise data environments.

- Develop and optimize relational and dimensional data models to support reporting, analytics, and business intelligence requirements.

- Collaborate with Data Engineers, Architects, BI Developers, Analysts, and business stakeholders to ensure data models align with enterprise architecture.

- Review existing data models and identify opportunities for performance improvement, scalability, standardization, and simplification.

- Establish and maintain data modeling standards, naming conventions, documentation, and best practices.

- Support database design, data integration, ETL/ELT processes, and data warehouse development.

- Perform data analysis and validation to ensure data quality, consistency, integrity, and alignment with defined business rules.

- Participate in architecture discussions, design reviews, technical documentation, and continuous improvement of enterprise data solutions.

Required Skills & Experience :

- 59 years of professional experience in Data Modeling and database design.

- Strong hands-on experience in conceptual, logical, and physical data modeling.

- Good understanding of relational database concepts, normalization, denormalization, keys, constraints, and relationships.

- Experience with dimensional modeling concepts such as Star Schema and Snowflake Schema.

- Strong SQL skills and understanding of database structures and query performance.

- Experience working with data warehouses, data lakes, or enterprise data platforms.

- Familiarity with ETL/ELT processes and data integration concepts.

- Experience with data modeling tools such as Erwin, ER/Studio, PowerDesigner, or similar tools is preferred.

- Strong analytical and problem-solving skills.

- Excellent communication and stakeholder-management skills.

- Ability to work effectively with technical and business teams.