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.

• 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.

• 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.

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