Data Architect - AI and Data (DV Cleared)

Location: UK

Clearance: DV clearance required

You’ll work on high impact national programmes, shaping how data is governed, trusted and used across Government and Public Services. You’ll be part of a strong Data & AI community, delivering meaningful work at scale. You will play a key role in shaping secure, scalable and standards aligned data architectures that underpin critical national systems.

A senior consulting role, combining enterprise architecture, delivery assurance and stakeholder leadership. You will assess existing data landscapes, define target-state architectures, and guide delivery teams to implement robust, governed data solutions.

Key Responsibilities

• Define enterprise data architectures, including conceptual, logical and physical data models aligned to UK Government and international standards.
• Assess current-state systems and data landscapes, and design target-state architectures and transition roadmaps.
• Establish and apply data architecture principles, standards and patterns across programmes.
• Provide architecture oversight and assurance to ensure solutions are secure, scalable, reliable and maintainable.
• Lead or support data and AI proofs of concept, pilots and experiments.
• Own and support data governance, including data quality, lineage, metadata and compliance.
• Act as an escalation point for data quality, governance and regulatory issues.
• Engage with senior business and technology stakeholders to translate business outcomes into data architecture solutions.
• Mentor and lead junior Data Architects, Analysts and Engineers.
• Contribute to consulting activities, including proposals, presentations and pre-sales support.

Required Skills & Experience

• Significant experience as a Data Architect within consulting or large, complex organisations.
• Strong background in data modelling and design (e.g. dimensional modelling, data vault).
• Experience designing Data Lake, Lakehouse and Data Mesh architectures.
• Strong understanding of SQL databases and familiarity with columnar and NoSQL technologies.
• Experience designing data pipelines (batch, streaming, hybrid) and end-to-end data flows.
• Knowledge of data governance, data quality, metadata, catalogues and lineage (e.g. Collibra, Informatica).
• Understanding of cloud and hybrid deployment models
• Proven experience working in multi-stakeholder, multidisciplinary environments.