Senior Data Modeler Job Amsterdam area,North Holland Netherlands,IT/Tech

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.
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.

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