4 of 4 Lead Data Architect Jobs in Central London

firms in financial services, governments, and leading fintechs and startups, including JP Morgan, HSBC, Deutsche Bank and Rolls Royce. We are currently seeking a Lead Data Architect for one of our clients. ✅ Work location: London ✅ Work setting: hybrid Key Responsibilities Design the UDM across the four domains … Customers, Applications, Assessments, Cases), aligning with the DSFS data model and existing Netezza structures. Produce the EDW logical and physical data models, dimensional models for the Semantic Layer, and Data Lake zone architecture (Bronze/Silver/Gold). Define Enterprise Semantic Layer design, including pre-computed ...

leading London Market Insurance firm is looking to hire a Lead Data Architect to join their growing Data Architecture team to share the enterprise-wide data architecture. You will provide strategic direction, influence and guardrails to enable quality and well-governed data outcomes across … business. This role is more focused on working through influence, governance and collaboration rather than owning or delivering data solutions. KEY REQUIREMENTS: Financial Services Experience is essential Strong experience shaping enterprise data architectures Significant experience in governance, MDM, metadata, lineage, modelling, quality management and data security. Have ...

leading London Market Insurance firm is looking to hire a Lead Data Architect to join their growing Data Architecture team to share the enterprise-wide data architecture. You will provide strategic direction, influence and guardrails to enable quality and well-governed data outcomes across ...

leading London Market Insurance firm is looking to hire a Lead Enterprise Data Architect to join their growing Data function to share the enterprise-wide data architecture. You will play a crucial role in building out the data strategy on the Snowflake platform. … full advantage of the available features in a performant and cost-effective manner KEY REQUIREMENTS: Financial Services Experience is essential Strong experience shaping enterprise data architectures Significant experience in governance, MDM, metadata, lineage, modelling, quality management, and data security. Vast Snowflake expertise Hands-on experience with data ...