Data Architect; AWS - Public Sector

Key Responsibilities

• Define logical and physical data models, including No
  
  SQL 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.

• Strong experience in data architecture with proven expertise in data modelling for relational and No
  
  SQL databases, covering structured and unstructured data.

• Hands-on experience with cloud platforms, particularly AWS, and No
  
  SQL technologies such as Dynamo
  
  DB.

• 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.