Data Modeler

Overview

On Site

Full Time

Part Time

Accepts corp to corp applications

Contract - Independent

Contract - W2

Skills

Payment Card Industry

Data Security

Data Architecture

Optimization

Scalability

ERwin

Data Modeling

Normalization

Meta-data Management

PCI DSS

Encryption

Collaboration

Management

Credit Cards

Payments

Communication

Documentation

Data Governance

Cloud Computing

Amazon Web Services

Google Cloud Platform

Google Cloud

Microsoft Azure

NoSQL

Database

Job Details

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Job Summary

We are seeking an experienced Data Modeler with strong expertise in Erwin Data Modeling and hands-on experience in the credit card or payment industry. The ideal candidate will design, implement, and maintain scalable, secure, and compliant data models that support enterprise-level applications and align with PCI and regulatory standards.

Key Responsibilities

Design, implement, and maintain logical and physical data models using Erwin Data Modeler.
Collaborate with data architects, business analysts, and engineering teams to ensure models meet business and technical requirements.
Develop and maintain complex data models that support high-volume transactional systems.
Ensure data models comply with PCI, data governance, and security policies.
Apply industry best practices in data modeling, including tokenization, encryption, and data protection standards.
Manage design considerations and priorities across multiple business and technology stakeholders.
Participate in data architecture reviews and provide recommendations for optimization and scalability.

Required Skills & Qualifications

Strong expertise in Erwin Data Modeling (logical and physical models).
Solid understanding of data modeling principles, normalization, and metadata management.
Hands-on experience with PCI compliance, tokenization, and encryption standards.
Proven ability to collaborate across teams and manage multiple priorities.
Experience in the credit card or payments industry is mandatory.
Excellent communication and documentation skills.

Preferred Qualifications

Experience with data governance frameworks and data catalog tools.
Familiarity with cloud data platforms (AWS, Google Cloud Platform, or Azure).
Knowledge of relational and NoSQL databases.

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