Senior Data Modeler

STAFIDE; Amsterdam; On-site; EUR 90,000 - 120,000; Full time

Job summary

STAFIDE is seeking an experienced Data Modeler/Data Architect to design and manage enterprise data models across conceptual, logical, and physical layers. You will drive data modeling standards and collaborate with analysts, architects, and developers to align models with business needs.

You will leverage ERwin data modeling practices, support data integration and migration initiatives, and ensure governance, quality, and metadata practices across data assets in a complex enterprise landscape.

Qualifications

• 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.

Responsibilities

• Design, develop, and maintain enterprise data models (conceptual, logical, physical) for applications and platforms.
• Translate business data requirements into effective data structures.
• Define entities, relationships, attributes, standards, and naming conventions.
• Support data integration, migration, and transformation with robust modeling.
• Perform data analysis and impact assessments for new requirements.
• Ensure governance, data quality, and metadata management compliance.
• Contribute to design reviews and optimization of database architecture.

Skills

Data Modeling

SQL

Data Architecture

Data Governance

Data Migration

Stakeholder Management

Analytical Thinking

Communication

Tools

ERwin Data Modeler

Job description

• 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.