Data Architect / Data Modeller

The role is within the CIB Data & Analytics IT organisation focused on defining data management principles and delivering core data services in a large-scale financial environment.

• 5+ years as a Data Architect in large, complex, geographically dispersed organisations.
• Strong understanding of data value, data management, and business strategy.
• Experience in Financial Services, especially in Data Architecture, Governance, and Management.
• Proven logical data modelling skills delivering conceptual and logical models.
• Ability to think abstractly and recognise architectural patterns.
• Knowledge of industry modelling standards like BIAN, FSDM, BDW.
• Strong analytical skills to challenge designs and resolve complex issues.
• Experience with modelling tools such as Visual Paradigm, IBM Infosphere Data Architect, or Erwin.
• Excellent communication and virtual collaboration skills.
• Strong planning, organisation, and time-management abilities.
• Ability to work independently with ownership.

Nice to have:

• Experience with Hadoop ecosystems (Cloudera/HortonWorks).
• Exposure to GCP, Azure, or equivalent cloud data platforms (BigQuery, Dataflow, Dataproc).
• Experience with streaming technologies (Kafka, Flink, Pub/Sub).
• Understanding of integration patterns and MDM principles.
• Familiarity with enterprise architecture frameworks such as TOGAF.
• Experience working in agile delivery environments.

• Understand business requirements through collaboration with the CIB Chief Data Office, business users, and subject matter experts.
• Translate business needs into solution designs, functional requirements, and data architecture deliverables.
• Communicate functional solutions to development teams and support implementation.
• Work with production support teams to ensure maintainability of new solutions.
• Promote data architecture best practices, standards, and modelling techniques across the organisation.
• Contribute to conceptual, logical, and semantic data models supporting trusted sources and reusable assets.
• Participate in design reviews ensuring alignment with the CIB Data Architecture strategy.
• Provide thought leadership and influence stakeholders for consistent data standards.
• Operate effectively in a distributed, multi-regional environment requiring strong communication and collaboration.