Hiring: Lead/Sr, Data Modeler at Charlotte, NC

Position: Lead/Sr, Data Modeler

Location: Charlotte, NC (Need Onsite day 1, hybrid 3 days from office)

Duration: Long-Term Contract

Job Description:

The Data Modeler will be responsible for developing conceptual, logical, and physical data models for Home Lending and FR Y-14M reporting domains. The individual will collaborate closely with business stakeholders, regulatory reporting teams, data architects, data engineers, business analysts, governance teams, and cloud engineering teams to establish standardized and scalable data structures within the GCP ecosystem. This role requires a deep understanding of mortgage data, loan lifecycle processes, regulatory reporting data requirements, and cloud-native data architecture patterns.

The Roles & Responsibilities:

• Data Modelling & Architecture
• Design and maintain conceptual, logical, and physical data models for Home Lending and Regulatory Reporting domains.
• Develop scalable data models optimized for Google BigQuery.
• Create enterprise data structures supporting below or similar:
• Mortgage Origination
• Mortgage Servicing
• Customer Information
• Collateral Data
• Loan Performance
• Delinquency Management
• Loss Mitigation
• Regulatory Reporting
• Define data relationships, cardinality, business rules, and metadata standards.
• Design canonical and harmonized data models across multiple source systems.

Requirements:

• Bachelor's Degree in Computer Science, Information Systems, Engineering, Finance, or related discipline.
• 12+ years of Data Modelling experience.
• 5+ years within Banking, Financial Services, or Regulatory Reporting.
• Experience supporting large-scale Data Warehouse or Cloud Modernization initiatives.
• experience in Home Lending and Mortgage data domains.
• supporting FR Y-14 regulatory reporting initiatives or similar regulatory exposure
• Experience working with Large U.S. Banks.
• Familiarity with risk and finance data domains.
• Experience working in Agile delivery environments.
• Knowledge of AI-assisted data discovery and metadata management tools.

Tools & Technologies:

• Data Modelling Tools
• Erwin Data Modeler
• ER/Studio
• SAP Power Designer
• SQL Developer Data Modeler
• Cloud & Engineering
• GCP BigQuery
• Dataflow
• Dataproc
• Cloud Composer
• Cloud Storage
• Success Criteria

The successful candidate will:

• Deliver enterprise-grade data models supporting Home Lending and FR Y-14M reporting.
• Enable migration from legacy platforms to GCP BigQuery.
• Improve data consistency, quality, and regulatory compliance.
• Establish scalable and reusable regulatory reporting datasets.
• Support reduction of reporting complexity and improved data traceability.
• Enable self-service analytics and future-state regulatory reporting capabilities.