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Senior Data Modeler

Pyramid Technology Solutions, Inc.Charlotte, NC🇺🇸United StatesPosted Sep 24, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Charlotte, NC, United States
Posted
Yesterday
LLMReconciliationRegulatory Reporting

Job Description

Job Title: Senior Data Modeler

Location: Charlotte, NC

Duration: 12+ Months

Job Description:

We are seeking a highly experienced Senior Data Modeler to support the development and governance of an enterprise-wide Common Domain Model (CDM) for capital markets and investment banking data. The role will focus on establishing consistent business semantics and canonical data structures across Front Office, Risk, Finance, Operations, Regulatory Reporting, and Analytics.

Required Qualifications:

  • Extensive hands-on experience as a Data Modeler within investment banking, capital markets, broker-dealer, or financial services environments.
  • Strong experience developing enterprise Common Domain Models and canonical data models.
  • Strong knowledge of capital markets data and business processes.
  • Experience modeling trades, positions, products, valuations, cash flows, and trade lifecycle events.
  • Experience with parties, legal entities, accounts, books, agreements/CSA, settlement instructions, and reference data.
  • Strong understanding of conceptual, logical, and physical data modeling.
  • Experience with source-to-canonical mapping and data harmonization.
  • Experience with data lineage, reconciliation, metadata, and data governance.
  • Ability to lead data modeling workshops with business and technology stakeholders.
  • Strong understanding of data architecture and enterprise data management practices
  • Experience with ISDA Common Domain Model (CDM).
  • Experience with FINOS or related financial-services data standards.
  • Experience mapping internal data models to industry-standard canonical models.
  • Experience with streaming and event-based data schemas.
  • Experience with lakehouse and enterprise data warehouse physical models.
  • Experience with API and message contract governance.
  • Exposure to AI/ML, LLM, RAG, semantic layers, and AI-ready data architectures.

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