Role / Job Title: Data Modeler / Architect for MDM Program Work Location: Stratford, London (5 Days) The Role: We are seeking a highly skilled Data Modeller with expertise in building application data models covering multiple capability areas of business that include Finance, CRM, and also Master Data Management (MDM) to support large-scale programmes. This role requires a strong understanding of financial services, corporate systems, and consulting environments. The ideal candidate will work closely with cross-functional teams, including data architects, business analysts, and engineers, to design robust, scalable, and compliant data solutions. Your Responsibilities: Develop conceptual, logical, and physical data models to support enterprise-wide MDM initiatives. Develop end-to-end data lifecycle event flows, mapped to logical models and physical systems. Document and maintain data dictionaries, metadata, and entity relationships. Translate requirements into optimal data structures. Define and enforce data governance policies and standards. Design data models for structured and unstructured data across relational and NoSQL databases. Ensure compliance, data security, and integrity within data models. Ability to implement models in cloud-based platforms/databases (AWS, Azure, Snowflake, etc.). Contribute to data migration, integration, and reconciliation strategies. Your Profile Essential Skills / Knowledge / Experience: 7 years of experience in data modeling and MDM. Hands-on expertise with data modeling tools (e.g., Erwin, Power Designer, ER/Studio). Strong proficiency in SQL, NoSQL, and cloud-based databases (Snowflake, Amazon Redshift, BigQuery, etc.). Experience working in financial services, capital markets, or consulting environments. Deep understanding of data governance, metadata management, and regulatory compliance. Proficiency with ETL frameworks, APIs, and real-time data integration. Desirable Skills / Knowledge / Experience: Data modeling and MDM Erwin, Power Designer, ER/Studio SQL, NoSQL, and cloud-based databases Snowflake, Amazon Redshift, BigQuery, ETL frameworks