Senior Data Architect
Location: Remote (UK-based)
Employment Type: Permanent
Sector: Consulting / Public Sector
Eligibility: Applicants must have the existing right to work in the UK. Visa sponsorship is not available.
Overview
We are seeking a Senior Data Architect (20+ years’ experience) to lead the design and delivery of enterprise-scale data platforms within consulting and public sector environments. This role requires strong architectural leadership, stakeholder engagement, and deep expertise in modern data platforms that support advanced analytics and AI-enabled solutions.
Key Responsibilities
• Lead the architecture and design of enterprise data platforms supporting large transformation programmes.
• Define modern architectures including lakehouse platforms, distributed analytics, and event-driven systems.
• Provide oversight of data engineering environments, including ETL/ELT pipelines, orchestration, and DataOps practices.
• Ensure platforms are secure, scalable, resilient, and aligned with governance standards.
• Lead architecture workshops and governance forums, aligning business strategy with technology delivery.
• Implement data governance, master data management (MDM), and regulatory compliance frameworks (e.g. GDPR).
• Mentor architects and engineering teams and contribute to architectural best practices.
AI & Advanced Data Platforms
Candidates must have experience delivering AI or machine learning capabilities, including architecture for model training, deployment, monitoring, and integration into enterprise data platforms.
Requirements
• 20+ years’ experience in data architecture or enterprise data platforms.
• Experience delivering consulting engagements, ideally within the UK public sector.
• Proven experience designing large-scale cloud-based data and analytics platforms.
• Strong stakeholder management and ability to translate architecture into business value.
Technical Skills
• Cloud platforms: Azure, AWS, or GCP
• Data lakes, warehouses, and lakehouse architectures
• Streaming and event-driven architectures
• Data modelling, SQL, and modern data engineering tools
• API-led and event-based integration patterns