Senior Enterprise Architect (Data Platform Technology)

Overview

In this role you will shape HMRC’s Data Technology Strategy as a Senior Enterprise Architect for the EA Data Platform Technology team. You’ll guide enterprise-scale data platforms, analytics, AI/ML capabilities, and data pipelines to support billions of transactions. You’ll collaborate with senior leaders to steer technology investments and ensure solutions deliver value at scale. The opportunity offers impact across government data transformation initiatives, shaping future capabilities and architecture. You’ll join a cross-location team within the Chief Technology and Design directorate.

Pay / Benefits

• Civil Service Pension (Alpha)
• Flexible and Hybrid working
• Leave allowance 25–30 days
• Capability-based allowance
• Coaching and development
• Family-friendly policies

Responsibilities

• Define and maintain enterprise-wide data architecture strategies, principles, standards and roadmaps
• Provide expert guidance and governance to solution architects ensuring designs align with strategic direction
• Lead architectural thinking across enterprise reporting, analytics, AI/ML platforms, data ingestion, transformation and storage technologies
• Engage with senior stakeholders across HMRC and wider government to influence technology strategy and investment decisions
• Identify emerging technologies, industry trends and innovations, assessing their value and applicability
• Promote scalable, sustainable and reusable solutions that deliver value for money and support future business needs

Key requirements

• Significant experience in Enterprise Architecture or senior architecture roles with large-scale data platforms
• Experience developing architectural principles, policies, standards, reference architectures and roadmaps
• Ability to identify emerging technologies and evaluate their potential impact
• Strong communication skills for technical and non-technical audiences
• Experience influencing strategic technology decisions with evidence-based recommendations
• Experience balancing immediate business needs with long-term objectives
• Cloud-native data services and platforms
• Data integration, transformation and metadata management technologies (Talend, Informatica or similar)
• Analytics and business intelligence tooling (SAS, Power BI, Pentaho or equivalent)
• Artificial Intelligence and Machine Learning solutions (AI/ML) capabilities

• Strong communication
• Stakeholder engagement
• Influencing strategic decisions
• Cloud-native data services and platforms
• Data integration, transformation and metadata management (Talend, Informatica)
• Analytics/BI tools (SAS, Power BI, Pentaho)