Data Modeler

• Design, develop, and maintain conceptual, logical, and physical data models for enterprise applications and data platforms.

• Utilize ERwin Data Modeler to create and manage scalable, high-quality data models aligned with business requirements.

• Collaborate with business analysts, data architects, developers, and stakeholders to understand data requirements and translate them into effective data structures.

• Define entities, relationships, attributes, data standards, and naming conventions to ensure consistency across data assets.

• Support data integration, migration, and transformation initiatives by providing robust data modeling solutions.

• Perform data analysis and impact assessments for new business requirements and system enhancements.

• Ensure compliance with enterprise data governance, data quality, and metadata management standards.

• Maintain data dictionaries, model documentation, and data lineage information.

• Participate in design reviews and provide recommendations for database optimization and data architecture improvements., * Analyze business requirements and convert them into efficient data structures.

• Support data migration, integration, reporting, and analytics initiatives.

• Collaborate effectively with architects, developers, and business stakeholders.

• Identify and resolve data design and modeling challenges.

What We Bring to the Table:

• Opportunity to work on enterprise-scale data management and digital transformation initiatives.

• Exposure to modern data architecture, governance, and data modeling best practices.

• A collaborative environment focused on innovation, quality, and continuous improvement.

• 6+ years of experience in Data Modeling, Data Architecture, or Data Management.

• Strong hands-on expertise with ERwin Data Modeler.

• Experience creating Conceptual, Logical, and Physical Data Models for enterprise applications.

• Strong understanding of Relational Database Management Systems (RDBMS) and data modeling best practices.

• Hands-on experience with SQL and database design principles.

• Knowledge of data governance, metadata management, data quality, and data lineage concepts.

• Experience supporting data integration, ETL, data migration, and analytics initiatives.

• Ability to translate complex business requirements into scalable data models.

• Strong analytical, problem-solving, stakeholder management, and communication skills.

You Should Possess the Ability to:

• Design and maintain enterprise-grade data models using ERwin.

• Develop conceptual, logical, and physical data models aligned with business objectives.

• Define data standards, naming conventions, and data governance practices.