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 NoSQL 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


• PostgreSQL


• Cassandra


• YugabyteDB


• 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 ForTechnical Expertise • Proven experience as a Data Architect within complex enterprise environments.

• Deep expertise in relational database design and modelling: • Oracle


• PostgreSQL


• Strong hands-on experience with distributedNoSQL platforms: • Cassandra


• YugabyteDB


• 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

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