- Develop and maintain Conceptual, Logical, and Physical Data Models.
- Perform quality assurance reviews of DRS, DDM, Physical Data Models, Erwin submissions, and Authoritative Register models.
- Validate data modeling standards, naming conventions, entities, attributes, relationships, keys, cardinality, and referential integrity.
- Ensure end-to-end data traceability and lineage across business, logical, and physical data structures.
- Ensure models are aligned with GIM/UDM structures, enterprise data architecture, and data governance standards.
- Review model submissions and identify gaps, inconsistencies, duplication, and structural issues.
- Collaborate with Data Architects, Business Analysts, Data Engineers, Data Governance teams, and application teams to translate business requirements into robust data models.
- Maintain and enhance enterprise data model documentation and metadata.
- Support data standardization, integration, and transformation initiatives.
- Provide guidance to development and project teams on data modeling best practices and standards.
To apply for this job email your details to ANUP@praxisconsultants.in