Data Modeler
2 weeks ago
Location: Wilmington, DE (Onsite)
About the Role
We are looking for an experienced Data Modeler with a strong background in the credit card/banking industry. The ideal candidate should be highly skilled in Erwin data modeling tools (logical & physical) and well-versed in data governance, PCI compliance, encryption, and tokenization standards. This role requires working closely with data architects, business analysts, and engineering teams to design scalable and secure data models aligned with enterprise standards.
Key Responsibilities
- Design, implement, and maintain logical and physical data models using Erwin.
- Develop complex data models to support enterprise-scale credit card applications.
- Collaborate with data architects, engineering teams, and business analysts to define and refine requirements.
- Ensure compliance with PCI DSS standards and adopt security patterns (encryption, tokenization, masking).
- Apply industry best practices in data modeling to ensure scalability, performance, and reliability.
- Support data governance initiatives by documenting metadata, lineage, and design standards.
- Manage design considerations, trade-offs, and priorities across multiple stakeholders.
- Provide ongoing support for data model changes, enhancements, and optimizations.
- Strong expertise in Erwin Data Modeling (logical & physical modeling).
- Solid understanding of data modeling principles, normalization, and best practices.
- Mandatory credit card industry experience (transaction processing, billing, payments).
- Knowledge of PCI compliance, encryption, and tokenization.
- Strong collaboration skills to work with business and technical stakeholders.
- Ability to handle large-scale enterprise data models in a fast-paced environment.
- Experience with regulatory compliance in the banking sector.
- Familiarity with data governance frameworks and metadata management.
- Strong analytical and problem-solving skills.
- Exposure to cloud-based data platforms (AWS, Azure, GCP).
- Bachelor's or Master's degree in Computer Science, Data Management, Information Systems, or related field.
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