Key Responsibilities
* Define logical and physical data models, including NoSQL data structures, to support business and technical requirements.
* Establish and maintain data structures, data flows, and end-to-end documentation across systems.
* Define and document data requirements, inputs, outputs, and lineage using approved data lineage and traceability tools.
* Lead the creation and maintenance of API documentation and data integration specifications.
* Ensure data consistency, integrity, and quality across systems, aligning with governance frameworks and regulatory standards.
* Implement and uphold data governance processes in collaboration with central data architecture and governance teams.
* Contribute to broader architecture decisions to ensure adherence to organisational standards and technical strategy.
* Support and oversee data-related testing activities by clarifying data models, flows, and requirements for testing teams.
* Conduct impact analysis and support life cycle management of data assets, identifying opportunities for reuse and optimisation.
* Engage with cross-functional stakeholders-including developers, testers, product and technical architects, senior leadership, and governance forums-to communicate design decisions and obtain approvals.
* Provide guidance and oversight to data analysts and support other architects as required.
* Ensure adherence to security, privacy, and compliance requirements, including meeting clearance requirements where applicable.
Skills Required
* Strong experience in data architecture with proven expertise in data modelling for relational and NoSQL databases, covering structured and unstructured data.
* Hands-on experience with cloud platforms, particularly AWS, and NoSQL technologies such as DynamoDB.
* Strong understanding of system integrations, including API-based workflows, data exchange patterns, and integration documentation.
* Proficiency in designing and managing data integration workflows across diverse platforms.
* Experience with data lineage, metadata, and traceability tools (eg, Solidatus) or the ability to quickly adopt such tools.
* Solid understanding of data governance principles, data quality processes, data life cycle management, and regulatory compliance.
* Strong analytical and problem-solving skills with the ability to translate business requirements into effective data designs.
* Excellent communication and stakeholder management skills, with experience engaging senior leadership, technical teams, and governance bodies.
* Experience supporting data-focused testing activities and clarifying data models and flows for testing teams.
* Ability to work effectively across multiple delivery teams in Agile environments and adapt to evolving project needs.