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Lead Data Modeler

Charlotte, NC, US • Posted 14 hours ago • Updated 14 hours ago

Contract Corp To Corp

Contract W2

6 Months

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Data Modeler

Summary

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 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.

The Role

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.

Requirements:

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
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

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 Google Cloud Platform 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10117326
Position Id: 33056-26195-1786544157
Posted 14 hours ago

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Role: Lead Data Modeler Location: Charlotte, NC(Hybrid/Onsite role) Duration: 12 moths W2 Contract Need FR Y-14M Regulatory Reporting Experience 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 OriginationMortgage ServicingCustomer InformationCollateral DataLoan PerformanceDelinquency

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