Job Description

Key Responsibilities

• Design and develop Conceptual, Logical, and Physical Data Models for enterprise applications and integrations.
• Create and maintain Canonical Data Models (CDM) to standardize data exchange across systems.
• Work with Enterprise Architecture teams to align data models with organizational data strategy and governance standards.
• Analyze existing source systems and map data elements to canonical structures.
• Define entities, attributes, relationships, business rules, and metadata standards.
• Collaborate with integration teams supporting APIs, ETL processes, and data migration activities.
• Perform data profiling, data mapping, and gap analysis across enterprise systems.
• Support Master Data Management (MDM) and data governance initiatives.
• Ensure data models adhere to enterprise architecture principles and industry best practices.
• Create and maintain data dictionaries, metadata repositories, and model documentation.
• Participate in architecture reviews and provide recommendations for data standardization and optimization.
• Support implementation teams during development, testing, and deployment phases.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Management, or related field.
• 8+ years of experience in Data Modeling, Data Architecture, or Enterprise Data Management.
• Strong experience developing Conceptual, Logical, and Physical Data Models .
• Experience working on Canonical Data Model (CDM) initiatives in large enterprise environments.
• Hands-on experience with data modeling tools such as:
  • Erwin Data Modeler
  • ER/Studio
  • PowerDesigner
  • Enterprise Architect
• Strong understanding of:
  • Data Governance
  • Data Quality
  • Metadata Management
  • Master Data Management (MDM)
• Experience with relational databases such as SQL Server, Oracle, PostgreSQL, or DB2.
• Strong SQL skills and data analysis capabilities.
• Experience supporting enterprise integration projects involving APIs, ETL, and cloud platforms.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience in Healthcare, Medicaid, Government, or Public Sector environments.
• Familiarity with enterprise integration frameworks and service-oriented architectures.
• Knowledge of cloud data platforms such as AWS, Azure, or GCP.
• Experience with data cataloging and governance tools.
• Understanding of enterprise architecture frameworks such as TOGAF.
• Certification in Data Management, Data Architecture, or Enterprise Architecture is a plus.

Required Skills

• Data Modeling
• Canonical Data Modeling
• Enterprise Architecture
• Data Governance
• Metadata Management
• Data Mapping
• SQL
• Data Integration
• MDM
• Data Analysis
• Documentation & Stakeholder Communication

One-Line Summary

Seeking an experienced Data Modeler with strong Canonical Data Model (CDM) and Enterprise Architecture experience to support Gainwell's enterprise-wide data standardization and integration initiative through Tech Mahindra.

Job Tags

Similar Jobs