Data Modeler FRY Mortgage

Job Title:

Data Modeler with FRY 14 Mortgage experience

Location:

Charlotte, NC 3 days/week onsite (Need local candidates) Duration: 12+Months

We are seeking an experienced Data Modeler to support a strategic Home Lending Data Modernization and Regulatory Reporting Transformation initiative. The program aims to modernize and simplify the Home Lending data ecosystem by migrating legacy data platforms and reporting processes to a scalable, cloud-based architecture on Google Cloud Platform (GCP) utilizing Big Query
.

The Data Modeler will play a critical role in designing enterprise-scale data models supporting FR Y-14M Mortgage Reporting
, regulatory reporting, risk management, data governance, analytics, and self-service reporting capabilities. The role requires strong expertise in banking data, mortgage servicing and origination data, regulatory reporting, and cloud-based data modeling practices.

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.

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

• Analyze and model data required for FR Y-14M schedules including:
• Home Equity
• Loan-Level Performance Reporting
• Borrower Information
• Property Information
• Delinquency & Default Data
• Translate regulatory requirements into data attributes and reporting structures.
• Ensure data model compliance with Federal Reserve reporting requirements.
• Support regulatory examinations, audits, and data lineage documentation.

• Support migration of legacy warehouse and reporting environments to GCP.
• Model data ingestion, transformation, and reporting layers.
• Raw Layer
• Curated Layer
• Business Layer
• Reporting Layer
• Define standards for reusable data assets and reporting datasets.
• Partner with architects to implement modern cloud-based data architecture patterns.

• Establish enterprise data standards and naming conventions.
• Define business metadata and technical metadata.
• Collaborate with governance teams on:
• Data Quality Rules
• Data Controls
• Reference Data Management
• Data Cataloging
• Ensure compliance with enterprise data governance frameworks.

• Collaborate with:
• Business Analysts
• Product Owners
• Regulatory Reporting Teams
• Data Architects
• Controls Teams
• Conduct data discovery workshops and model review sessions.
• Present data model designs to business and technical stakeholders.

Bachelor's Degree in Computer Science, Information Systems, Engineering, Finance, or related discipline.

• 12+ years of Data Modeling 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

• Conceptual Data Modeling
• Logical Data Modeling
• Physical Data Modeling
• Dimensional Modeling
• Data Vault Modeling
• Snowflake Schema Design
• Data proc
• Dataflow
• Pub/Sub

• Oracle
• SQL Server
• Hive

• Metadata Management
• Data Governance
• Data Quality
• Master Data Management (MDM)

• 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.

• ER win Data Modeler
• ER/Studio
• SAP Power Designer
• SQL Developer Data Modeler
• Dataflow
• Data proc

The successful candidate will:

• Deliver enterprise-grade data models supporting Home Lending and FR Y-14M reporting.
• Enable migration from legacy platforms to GCP Big Query.
• 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.