Data Architect - UK

• 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.

Technologies:

• AI
• Architect
• Cloud
• Data Vault
• Informatica
• Support
• NoSQL
• SQL

More:

We are a leading organization dedicated to shaping how data is governed, trusted, and used across government and public services. With a strong community focused on Data & AI, we deliver meaningful work at scale that has a tangible impact on national programs. Our Data Architect role is a senior consulting position based in the UK, where youll play a crucial role in developing secure and scalable data architectures that underpin essential systems. We prioritize collaboration and innovation, offering opportunities for professional growth and learning within our supportive team.

• 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.