> Markdown version of [/jobs/ext/3743617-data-modeler](https://www.wearedevelopers.com/jobs/ext/3743617-data-modeler). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Modeler - **Company:** Synechron Inc - **Location:** Charlotte, NC, United States - **Salary:** $100,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Business Analytics Applications, Data Analysis, Big Data, BigQuery, Cloud Computing, Cloud Database, Cloud Storage, Databases, Data Architecture, Data Control, Data Discovery, Information Engineering, Data Governance, Data Transformation, Data Profiling, Data Structures, Data Systems, Data Vault Modeling, Data Warehousing, Dimensional Modeling, Data Flow Control, Apache Hive, Meta-Data Management, Metadata Repositories, Metadata Standards, Microsoft SQL Server, Oracle (Applications), PowerDesigner, Reference Data, Cloud Services, Data Mesh, Cloudera, SAP (Applications), SQL Databases, Teradata SQL, Enterprise Data Management, Google Cloud, Data Lineage, Performance Monitor, Star Schema, Google Bigquery, Data Management, Physical Data Models, Cloud Migration - **Published:** October 15, 2026 - **Apply:** https://www.juju.com/job/2_163944383 ## About the Role * Experience in Data Modeling, Data Architecture, or Data Management. * Solid experience within Banking, Financial Services, Mortgage Lending, or Regulatory Reporting domains. * Proven experience supporting large-scale Data Warehouse Modernization or Cloud Transformation programs. * Strong experience in Home Lending, Mortgage Servicing, Loan Origination, and Regulatory Reporting data domains. * Understanding of supporting FR Y-14M or similar regulatory reporting initiatives. Data Modeling Expertise * Conceptual, Logical, and Physical Data Modeling * Dimensional Modeling * Data Vault Modeling * Star Schema and Snowflake Schema Design * Canonical Data Modeling * Normalization and Denormalization Techniques * Enterprise Information and Reference, Data Modeling, * Experience working with large U.S. Banks and Financial Institutions. * Strong understanding of Home Lending, Risk, Finance, and Regulatory Reporting data ecosystems. * Knowledge of Federal Reserve reporting requirements and governance frameworks. * Experience with GCP-based data modernization and enterprise cloud transformation initiatives. * Familiarity with Data Mesh, Data Products, and Modern Data Architecture principles. * Experience working in Agile/Scrum delivery environments. * Exposure to AI-assisted data discovery, metadata management, and data catalog platforms. * GCP Professional Data Engineer or Cloud Architect certification. * Strong communication and stakeholder management skills with the ability to bridge business, regulatory, and technical teams. ## Description We are seeking a highly skilled Data Modeler to support a strategic Home Lending Data Modernization and Regulatory Reporting Transformation initiative. This role will be responsible for designing and implementing enterprise-scale data models that support Mortgage Origination, Mortgage Servicing, Home Lending Analytics, Risk Management, and FR Y-14M Regulatory Reporting within a modern Google Cloud Platform (GCP) and BigQuery ecosystem. The ideal candidate will possess deep expertise in banking and mortgage data domains, strong data modeling capabilities, and hands-on experience delivering data solutions for large-scale regulatory reporting and cloud modernization programs. The role requires close collaboration with business stakeholders, regulatory reporting teams, data architects, governance teams, and data engineering teams to establish scalable, governed, and reusable data assets that drive regulatory compliance, operational efficiency, and advanced analytics., Data Modeling & Data Architecture * Design and maintain conceptual, logical, and physical data models for Home Lending, Mortgage, and Regulatory Reporting domains. * Develop scalable, cloud-native data models optimized for Google BigQuery and enterprise reporting platforms. * Design canonical, harmonized, and reusable data structures across multiple source systems. * Establish data relationships, business rules, hierarchies, cardinality, and metadata standards. * Support enterprise data architecture initiatives by defining standardized data domains and data products. Regulatory Reporting & FR Y-14M * Analyze and model data requirements supporting FR Y-14M Mortgage Reporting and related regulatory reporting frameworks. * Translate complex regulatory requirements into scalable data models and reporting structures. * Design data models supporting: * First Lien Mortgages * Home Equity Products * Loan Performance Reporting * Borrower and Property Data * Servicing and Collections Data * Delinquency and Default Reporting * Ensure full traceability, lineage, and auditability of regulatory data assets. * Partner with reporting, risk, and compliance teams to support regulatory examinations and audits. Cloud Data Modernization * Support migration of legacy data warehouse and reporting environments to GCP BigQuery. * Design data models across Raw, Curated, Business, and Reporting layers. * Collaborate with Data Architects and Data Engineers to implement modern cloud-based architecture patterns. * Define reusable reporting datasets and data products that enable self-service analytics and regulatory reporting. Data Governance & Quality * Establish enterprise data standards, naming conventions, and modeling best practices. * Define and maintain business metadata, technical metadata, and reference data structures. * Collaborate with Governance and Control teams to implement: * Data Quality Frameworks * Data Lineage * Data Controls * Data Cataloging * Master and Reference Data Management * Ensure compliance with enterprise governance policies and regulatory requirements. Stakeholder Collaboration * Partner with Business Analysts, Product Owners, Regulatory Reporting Teams, Data Architects, Risk Managers, and Data Engineers. * Lead data discovery sessions, data profiling activities, and model review workshops. * Present and socialize data model designs with both business and technical stakeholders. * Provide subject matter expertise on mortgage data, regulatory reporting, and data management best practices., Cloud & Big Data Technologies, * Google Cloud Platform (GCP) * BigQuery * Cloud Storage * Dataflow * Dataproc * Pub/Sub * Cloud Composer * Cloud-native Data Warehousing and Analytics Solutions Databases & Data Warehousing * Oracle * Teradata * SQL Server * Hive * BigQuery * Large-scale Enterprise Data Warehousing Data Governance & Management * Metadata Management * Data Governance * Data Lineage * Data Quality Management * Master Data Management (MDM) * Reference Data Management * Regulatory Data Controls Tools * ERwin Data Modeler * ER/Studio * SAP PowerDesigner * SQL Developer Data Modeler