Senior Data Modeler (ERwin) (ID: 4037)

Senior Data Modeler (ERwin) (ID: 4037)

As a Senior Data Modeler (ERwin), you will:

• 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.

What You Bring to the Table:

• 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.
• 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.
• Opportunities to work with cross-functional teams on strategic data programs.
• A culture that encourages professional growth, knowledge sharing, and continuous learning.