The Role
Design and maintain conceptual, logical, and physical data models using ERwin; collaborate with stakeholders to translate business needs into scalable data structures; support data integration, migration, ETL, and analytics efforts; enforce data governance, metadata, quality, and lineage standards; document models and provide optimization recommendations.
Summary Generated by Built In
As a Senior Data Modeler, 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.
Let’s Connect
Want to discuss this opportunity in more detail? Feel free to reach out.
Want to discuss this opportunity in more detail? Feel free to reach out.
Recruiter: Hema Murali
Phone: +31 20 369 0609 ; Extn :148
LinkedIn: https://www.linkedin.com/in/hema-murali-315999329/
Skills Required
- 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.
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
STAFIDE is a Netherlands-based niche technology talent consulting company operating across Europe. It helps organizations identify, recruit, and deploy technology professionals in areas including cybersecurity, cloud engineering, software development, data analytics, ERP, infrastructure, and digital transformation. Its services include recruitment, workforce engagement, secondment, onboarding support, workforce deployment, and workforce analytics that support technology hiring and expansion.
.jpg)
