Data Modeler with FRY 14 Mortgage experience Charlotte, NC 3 days/week onsite (Need local candidates)
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 (Google Cloud Platform) utilizing BigQuery.
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.
Role Summary
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 Google Cloud Platform ecosystem.
This role requires a deep understanding of mortgage data, loan lifecycle processes, regulatory reporting data requirements, and cloud-native data architecture patterns.
Key Responsibilities Data Modeling & 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.
FR Y-14M Regulatory Reporting or similar
- Analyze and model data required for FR Y-14M schedules including:
- First Lien Mortgage
- Home Equity
- Loan-Level Performance Reporting
- Borrower Information
- Property Information
- Servicing Data
- 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.
Data Modernization
- Support migration of legacy warehouse and reporting environments to Google Cloud Platform.
- Model data ingestion, transformation, and reporting layers.
- Design data models for:
- 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.
Data Governance & Quality
- Establish enterprise data standards and naming conventions.
- Define business metadata and technical metadata.
- Collaborate with governance teams on:
- Data Quality Rules
- Data Lineage
- Data Controls
- Reference Data Management
- Data Cataloging
- Ensure compliance with enterprise data governance frameworks.
Stakeholder Management
- Collaborate with:
- Business Analysts
- Product Owners
- Regulatory Reporting Teams
- Data Engineers
- Data Architects
- Controls Teams
- Risk Management Teams
- Conduct data discovery workshops and model review sessions.
- Present data model designs to business and technical stakeholders.
Required Qualifications Education
- Bachelor's Degree in Computer Science, Information Systems, Engineering, Finance, or related discipline.
Experience
- 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
Required Technical Skills Data Modeling
- Conceptual Data Modeling
- Logical Data Modeling
- Physical Data Modeling
- Dimensional Modeling
- Data Vault Modeling
- Star Schema Design
- Snowflake Schema Design
- Normalization & Denormalization Techniques
Cloud & Data Platforms
- Google Cloud Platform (Google Cloud Platform)
- BigQuery
- Cloud Storage
- Dataproc
- Dataflow
- Pub/Sub
- Cloud Composer
Databases & Warehousing
- Oracle
- SQL Server
- Teradata
- BigQuery
- Hive
Data Management
- Metadata Management
- Data Lineage
- Data Governance
- Data Quality
- Master Data Management (MDM)
Preferred Qualifications
- 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 Modeling Tools
- ERwin Data Modeler
- ER/Studio
- SAP PowerDesigner
- SQL Developer Data Modeler
Cloud & Engineering
- Google Cloud Platform BigQuery
- Dataflow
- Dataproc
- Cloud Composer
- Cloud Storage
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