Data Modeler

We are seeking a highly experienced Data Modeler to support a strategic Home Lending Data Modernization and Regulatory Reporting Transformation initiative. This program aims to modernize and simplify the Home Lending data ecosystem by migrating legacy reporting platforms and data warehouses to a scalable cloud-native architecture on Google Cloud Platform (Google Cloud Platform) leveraging BigQuery.

The ideal candidate will possess deep expertise in Data Modeling, Home Lending, Mortgage Origination, Mortgage Servicing, FR Y-14M Regulatory Reporting, Banking Data Architecture, Data Governance, and Cloud Data Platforms. This role will be instrumental in designing enterprise-scale data models supporting regulatory reporting, risk management, analytics, data governance, and self-service reporting capabilities.

The Role

Responsibilities:

Design and maintain conceptual, logical, and physical data models for Home Lending and Regulatory Reporting domains.

Develop scalable and optimized enterprise data models for Google BigQuery environments.

Design data structures supporting:

Mortgage Origination

Mortgage Servicing

Customer Information

Collateral Data

Loan Performance

Delinquency Management

Loss Mitigation

Regulatory Reporting

Define business rules, data relationships, cardinality, and metadata standards across enterprise datasets.

Develop canonical and harmonized data models integrating multiple source systems.

Analyze, model, and document data requirements for FR Y-14M Regulatory Reporting, including:

First Lien Mortgage

Home Equity

Loan-Level Performance

Borrower Information

Property Information

Servicing Data

Delinquency & Default Data

Translate complex regulatory requirements into scalable reporting structures and data attributes.

Ensure compliance with Federal Reserve reporting standards and enterprise governance policies.

Support data lineage documentation, regulatory audits, examinations, and compliance reviews.

Partner with business and technical teams to modernize legacy warehouse and reporting environments.

Design and optimize data models across:

Raw Layer

Curated Layer

Business Layer

Reporting Layer

Define reusable data assets, enterprise data standards, and reporting datasets.

Establish enterprise naming conventions, metadata standards, and modeling best practices.

Collaborate with governance teams on:

Data Quality Rules

Data Lineage

Data Controls

Reference Data Management

Data Cataloging

Conduct data discovery workshops and data model review sessions with business stakeholders.

Present data architecture and modeling solutions to both technical and non-technical audiences.

Partner with Data Engineers, Data Architects, Product Owners, Risk Teams, and Regulatory Reporting teams to deliver scalable cloud-based solutions.

Requirements:

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

12+ years of hands-on Data Modeling experience in enterprise environments.

5+ years of experience within Banking, Financial Services, Risk, or Regulatory Reporting domains.

Extensive experience supporting large-scale Data Warehouse Modernization or Cloud Transformation initiatives.

Strong experience in Home Lending, Mortgage Origination, and Mortgage Servicing data domains.

Proven experience supporting FR Y-14M reporting or similar regulatory reporting programs.

Expertise in:

Conceptual Data Modeling

Logical Data Modeling

Physical Data Modeling

Dimensional Modeling

Data Vault Modeling

Star Schema Design

Snowflake Schema Design

Normalization & Denormalization Techniques

Hands-on experience with Google Cloud Platform (Google Cloud Platform), including:

BigQuery

Cloud Storage

Dataflow

Dataproc

Pub/Sub

Cloud Composer

Strong experience with enterprise databases and warehouse platforms including:

Oracle

SQL Server

Teradata

Hive

BigQuery

Expertise in:

Metadata Management

Data Governance

Data Quality Frameworks

Data Lineage

Master Data Management (MDM)

Data Cataloging

Strong understanding of enterprise regulatory reporting, risk reporting, and financial data governance frameworks.

Excellent stakeholder management, communication, and problem-solving skills.

Experience working in Agile delivery environments.

Preferred, but not required:

Experience working with large U.S. banking institutions.

Knowledge of risk management and finance data domains.

Experience supporting regulatory reporting modernization initiatives.

Familiarity with AI-assisted data discovery and metadata management tools.

Experience with Mortgage Origination Systems (LOS) and Mortgage Servicing Platforms.

Exposure to enterprise data reconciliation and data control frameworks.

Professional certifications in Data Management, Cloud Technologies, or Data Architecture.

Tools & Technologies:

ERwin Data Modeler

ER/Studio

SAP PowerDesigner

SQL Developer Data Modeler

Google BigQuery

Dataflow

Dataproc

Cloud Composer

Cloud Storage

Oracle

SQL Server

Teradata

Hive

Google Cloud Platform Ecosystem