Data Architect leading the design and evolution of data architectures for complex digital services. Collaborating with multiple teams to align data solutions with organizational strategy and government standards.
Responsibilities
Lead the design and evolution of data architectures for complex digital services across the UK public sector.
Work across multiple delivery teams and stakeholders to define coherent, secure and sustainable data architectures that enable analytics, operational reporting and data-driven services.
Combine hands-on architectural design with leadership, assurance and stakeholder engagement.
Ensure data solutions align with user needs, organisational strategy, and government standards.
Requirements
Define and own data architecture designs that support digital services, analytics and operational decision-making.
Set data architecture principles, standards and patterns that enable consistency across teams while allowing appropriate autonomy.
Ensure data architectures address the full data lifecycle, including acquisition, storage, usage, sharing, retention and decommissioning.
Provide technical leadership and assurance across delivery teams, reviewing designs and guiding implementation.
Align data architecture decisions with user needs, business outcomes, security requirements and organisational risk appetite.
Support and influence data governance, including metadata management, data quality, lineage and ownership.
Engage with senior stakeholders and customers to explain architectural trade-offs and support informed decision-making.
Designing end-to-end data architectures for complex systems, including ingestion, processing, storage, analytics and access layers.
Strong understanding of data modelling approaches (e.g. conceptual, logical and physical models; analytical and operational models).
Experience designing architectures for analytics platforms, such as data warehouses, lakehouse-style platforms and domain-oriented data architectures.
Knowledge of data integration patterns, including batch, event-driven and API-based approaches.
Applying security-by-design and privacy-by-design principles to data architectures, including access control, classification and auditability.
Experience working across cloud platforms, remaining vendor-neutral and selecting technologies based on context.
Familiarity with modern data engineering and analytics tooling, including open-source ecosystems.
Benefits
25 days paid holiday, plus bank holidays
Vitality medical insurance
Workplace Pension 5% employer contribution
Group Life Assurance
Cycle scheme
5 days a year for approved Training
WFH equipment allowance
Buy / Sell Holiday
2 days paid volunteering days
Flexible working
Work on exciting projects - make a difference
Empowered to make decisions
Encouraged to fail fast and learn quickly
1-2-1 and team coaching / training available to all our staff
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