Data Architect

You will be part of a growing data architecture team, helping AQA move from one Data Architect to a broader team with stronger portfolio coverage. You will work across change programmes to translate business needs into clear data architecture direction, support delivery teams and help make sure data decisions are aligned to AQA strategy, governance and future technology opportunities., In this role, you’ll be responsible for:

• Creating and shaping data architecture artefacts, including data models, data dictionaries and data flow diagrams that help teams understand how data is created, moved, transformed and used.
• Working with project, product, technical and business stakeholders to translate business capabilities into practical data requirements and explain complex data decisions in clear, accessible language.
• Supporting data strategy and governance by contributing to standards, policies and procedures, while helping teams make secure, consistent and well-informed data decisions., This role gives you scope to influence how data architecture develops at AQA, while working on varied and meaningful technology change.
• You will work across a broad data landscape, including operational data, analytical data, insight, AI and machine-learning enabled opportunities.
• You will play a key role in change connected to reform, digital exams and future-facing data capability.
• You will gain exposure to a Microsoft and Azure environment, while applying architecture concepts that transfer across cloud platforms.
• A 35-hour working week with flexible, hybrid working
• 25 days’ annual leave (rising to 30), plus Christmas closure days
• Excellent pension (up to 11.5% employer contribution)

You will thrive in this role if you can combine strong technical data thinking with clear communication, curiosity and the confidence to influence decisions across business and technology teams.

• Experience producing and using architecture artefacts such as data models, data dictionaries, data flows or similar documentation, with the ability to understand, describe and connect domain-level data across systems or products.
• The ability to translate complex technical information into business-focused language and shape technical direction from business needs across a variety of stakeholder.
• A data architecture background is ideal, but adjacent experience in data engineering, solution or technical architecture with awareness of data governance frameworks, standards, policies and procedures, and clear architectural lens may also be suitable.