Job Details

• Engage with IT Stakeholders : Work closely with IT stakeholders to understand the requirement / business process and understand the business value proposition for proposed data modeling efforts.
• Support project team in Physical Data Model (PDM) and incorporate system-specific details : Adapt the logical data model into a physical data model by adding database-specific details like data types, indexes, and constraints, tailored to the target database platform.
• Implement Data Modeling - including naming conventions, documentation, version control, and validation techniques, to ensure models are accurate and maintainable.
• Socialize the Data Model with Business and Project IT Teams : Communicate and share the data models with business users and project teams through presentations, workshops, and documentation, ensuring widespread understanding and acceptance.

1. Develop Robust Logical and Physical Data Models : Create comprehensive logical and physical data models that accurately reflect the application's functional requirements, ensuring scalability, performance, and data integrity.

2. Align Data Models with Business Requirements and Application Architecture : Ensure data structures support current and future business processes by translating business rules and requirements into normalized logical models and optimized physical schemas.

3. Support Application Development Lifecycle : Provide data modeling deliverables that directly support development activities, including schema generation, integration planning, and testing support, ensuring alignment with agile and DevOps practices.

4. Promote Data Consistency and Standardization : Enforce enterprise data modeling guidance, naming conventions, and metadata management practices throughout the modeling process to support governance and interoperability.