Data Architect

We're looking for an experienced Data Architect to join a major transformation initiative within financial services. This is a high-impact role where you'll define and modernise enterprise data architecture across both traditional relational platforms and cutting-edge distributed No

SQL technologies. You'll be the authority on data modelling, architecture standards, and governance, partnering with senior business and technology stakeholders to design scalable, resilient, and future-ready data solutions. What You'll Be Doing Lead the discovery, analysis, and documentation of current and future-state enterprise data architectures. Design and deliver enterprise-wide data models, including:
Domain Models Conceptual Models Logical Models Physical Models Architect high-performance data solutions across:
Oracle Postgre

SQL Cassandra Yugabyte

DB On-premise and cloud environments Define data standards, governance frameworks, modelling conventions, and metadata strategies. Drive enterprise data strategy and contribute to architecture governance boards. Collaborate closely with architects, engineering teams, business stakeholders, and delivery leads. Assess legacy platforms and recommend modernisation and optimisation opportunities. Support data migration, integration, transformation, scalability, resiliency, and disaster recovery initiatives. Produce clear architecture artefacts and presentations for both technical and executive audiences.

What We're Looking For Technical Expertise Proven experience as a Data Architect within complex enterprise environments. Deep expertise in relational database design and modelling:
Oracle Postgre

SQL Strong hands-on experience with distributed

No

SQL platforms:
Cassandra Yugabyte

DB Advanced knowledge of:
Data modelling best practices Data normalisation and denormalisation Distributed data architecture Partitioning and replication strategies High-availability and scalability patterns Experience creating enterprise-level domain, conceptual, logical, and physical data models. Expertise with data modelling tools, ideally: ER/Studio Hackolade Strong understanding of enterprise integration, metadata management, and data governance. Exposure to cloud and hybrid data platforms is highly desirable. Financial Services Experience We're particularly interested in candidates who have worked within:
Financial Services Capital Markets Investment Banking Trading Platforms Risk & Regulatory Technology
* Rates depend on experience and client requirements