Data Modeler

We are seeking an 6+ years experienced Data Modeler to join our Data & Analytics (D&A) Service Line team. The ideal candidate will possess strong expertise in data modeling techniques (conceptual, logical, and physical) and have hands-on experience with Persistent Data Layer (PDL) and Logical Data Layer (LDL) design. A solid functional understanding of the payments domai covering payment gateways, cards, cashflows, and related processes is essential for this role.
The Data Modeler will collaborate closely with business stakeholders, data architects, and technical teams to design robust and scalable data models that drive analytics, reporting, and operational efficiencies within the payments ecosystem. Design, develop, and maintain conceptual, logical, and physical data models aligned with business requirements in the payments domain. Develop Persistent Data Layer (PDL) and Logical Data Layer (LDL) schemas ensuring data integrity, consistency, and optimal performance. Leverage deep functional knowledge of payments systems, including payment gateways, card processing, cashflows, transaction flows, settlement, and reconciliation processes. Work with business analysts, data architects, and developers to translate business needs into data model designs that support analytics, BI, and reporting solutions. Ensure adherence to data governance policies, standards, and best practices, including data security and compliance requirements relevant to payments. Maintain comprehensive documentation of data models, data dictionaries, metadata, and technical specifications. Support ETL teams and data engineers in data mapping, lineage, and integration tasks related to payments data. Analyze and troubleshoot data-related issues and work towards continuous improvement of data models and related processes. Engage with cross-functional teams and external vendors to ensure alignment and understanding of payments data requirements.