King's College London
Data Architect
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About the Role
We are looking for a Data Architect to develop and apply Data Architecture at King’s, with a particular focus on Data Products and Data Governance Architecture, supporting trusted, governed, and reusable data across the University.
Reporting to the Head of Information Architecture, you will translate enterprise architecture direction into domain Data Architecture, models, standards, and reusable architecture patterns. You will apply Data as a Product and Data Mesh principles, connecting data domains, governance, and technology to support interoperability and effective data reuse.
A key focus of the role will be designing conceptual, logical, physical, and semantic data models and architecture across modern data platforms, integration, storage, master and reference data, lakehouse, and medallion patterns, microservices, and reusable data services. You will apply Data Governance through ownership and stewardship, metadata, catalogue, lineage, data quality, classification, privacy, security, access, and retention.
You will work collaboratively with Data Owners, Data Stewards, Data Custodians, data users, Data Governance, Data Solutions, Business Architecture, Cloud & Platform, Agile delivery teams, other Professional Services teams, and external suppliers. You will translate data needs into practical architecture, support delivery through architecture enablers, features, implementation guidance, and reusable patterns, and validate Data Product architecture through priority use cases, MVPs, and PoCs.
This is a full-time post (35 hours per week), and you will be offered an indefinite contract.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:
Essential Criteria
- Qualifications & Architecture Practice: Bachelor’s degree in Computer Science, Data Engineering, Computer Engineering, Software Engineering, Data Science, Information Systems, or a related discipline, with experience applying Data Architecture across enterprise and domain environments using recognised architecture principles, methods, and standards.
- Data Products & Data Mesh: Experience designing Data Products and Data as a Product approaches, with good knowledge of Data Mesh principles, including product boundaries, consumers, interfaces, discoverability, interoperability, and federated approaches.
- Data Modelling & Semantics: Strong experience developing conceptual, logical, physical, and semantic data models, including domain models, transactional and analytical structures, and common business definitions.
- Data Governance: Practical experience applying Data Governance Architecture, including data domains, ownership and stewardship, metadata, catalogue, lineage, data quality, classification, privacy, and security.
- Data Management & Lifecycle: Good knowledge and practical experience of architecture for master and reference data, data storage, access, retention, and information lifecycle, and how these support trusted and reusable data across domains.
- Technology & Integration: Experience with modern data platforms and integration patterns, including APIs, event-driven integration, microservices, data pipelines, and lakehouse/medallion architecture, with knowledge of technologies such as Microsoft Fabric, Purview, Azure, and Python, and awareness of LLMs and AI-ready data patterns relevant to Data Architecture.
- Architecture Delivery: Experience working with Agile delivery teams, using SAFe or equivalent Agile frameworks, to translate Data Architecture into architecture enablers, features, backlog items, and implementation guidance, including using MVPs and PoCs to validate approaches and demonstrate value.
- Data Stakeholder & Supplier Engagement: Strong collaboration, facilitation, and communication skills, with the ability to work effectively with Data Owners, Data Stewards, Data Custodians, data users, Data Governance, Data Solutions, delivery teams, and external suppliers, and translate data needs into practical architecture.
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Desirable Criteria
- Architecture Frameworks & Certification: Relevant certification in Data Architecture, Enterprise Architecture, or data management, such as TOGAF, DAMA/CDMP, ArchiMate, or equivalent.
- Advanced Qualification: A relevant Master’s degree (MSc) in Data, Computer Science, Information Systems, Enterprise Architecture, or a related discipline.
- Technology Certification: Relevant professional certification in data, cloud, or information technologies, such as Microsoft Azure, Fabric, Purview, Power Platform, or equivalent.
Downloading a Copy of Our Job Description
Full details of the role and the skills, knowledge, and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information on what criteria will be assessed at each stage of the recruitment process.
Diversity at King’s
At King’s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive, and collaborative, are great strengths of the university.
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The Equality Act of 2010 protects the rights of our students and staff and provides a framework to fulfill our duties to eliminate unlawful discrimination, harassment, and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not. At times, this will include balancing rights and beliefs that can feel in tension.
We are committed to free speech and to academic freedom, believing that our foundational purpose as a university is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment, or discrimination.
When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King’s guidance.
How to Apply
We ask all candidates to submit a copy of their CV and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.
Artificial Intelligence (AI) in Recruitment
Artificial intelligence (AI) is evolving rapidly, and we recognize its growing role in professional work. Applicants may use AI tools to support the preparation of their application, for example, to research the role or structure written responses. However, applications must reflect the applicant’s own work and experience. AI tools should not be used during interviews or assessment activities unless this has been agreed in advance as a reasonable adjustment. Further guidance on the use of AI in recruitment can be found here.
Closing Date
We reserve the right to close adverts early due to the volume of applications we receive. While the closing date may change, all adverts will close at 23:59 to allow sufficient time for applications to be submitted on that day.
We encourage you to apply at the earliest opportunity to avoid disappointment, as once we have closed a vacancy, you will be unable to submit your application.
To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.
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