Description
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Job Title: Enterprise Information/Data Architect
Location: Hybrid - London Office travel required - 2/3 days a week
Clearance required: BPSS
Pay rate: £671 per day all inc. (PAYE through umbrella)
Job Description
Senior Enterprise Information & Data Architect positions held (enterprise level, not solution) with extensive experience shaping enterprise data strategy, governance, and target-state architectures.
Direct experience with ontologies, knowledge graphs, semantic layers, metadata management, and data governance.
Strong background in Azure-based data environments and enterprise-wide transformation programmes.
Comfortable challenging and influencing senior stakeholders at the CxO level.
Combine strategic leadership with a hands-on delivery approach.
Role Overview
Based within the architecture function but working alongside data teams, the Enterprise Information Architect is responsible for setting the vision and orchestrating The Crown Estate's data architecture, associated processes, and providing technical architecture direction for delivery of the target state, ensuring enterprise data is structured, integrated, and fit for purpose to enable decision-making, regulatory compliance, and digital transformation.
Key Responsibilities
- Document and maintain the enterprise data architecture for both current and target state, in the form of conceptual, logical and physical models
- Define and maintain enterprise data domains (eg property, asset, lease, customer, finance) and associated canonical models, semantic layers and ontologies
- Align business, digital and data strategies to support the business and develop data architecture principles
- Work with the Enterprise Architect to build and maintain appropriate Enterprise Architecture artefacts including data flows, value chains, taxonomy, data dictionary, and implementation roadmaps guided by business strategy and requirements
- Work with technical and business teams to understand and document business process, develop requirements and design operational and analytical data models to support business requirements
- Develop and maintain the enterprise data/information architecture roadmap
- Work with Data Governance team on the development of data capabilities such as Master Data Management, Data Quality and Data Observability
- Promote data lineage, traceability, and auditability across key data assets
- Support and guide master data solutions such as integration between systems and onboarding of new systems and sure alignment between enterprise data models and solution architectures
- Maintain TCE repository of knowledge for logical meta data mapped to applications
- Support Solution, Infrastructure, Networks and Security Architects to deliver Digital initiatives
- Act as a thought leader for enterprise information architecture and mentor and guide data architects, modellers, and analysts
- Member of the Architecture and Technical Design Authority, providing approvals with respect to architectural decisions across the TCE Digital Estate.
- Support and guide Data literacy campaigns in content, audience and delivery.
Key Skills
- Significant experience working in enterprise-level data architecture and able to act as a thought leader in this space
- Experience working in complex, asset-heavy or real estate environments
- Experience of Finance transformations
- Ability to influence senior stakeholders and shape strategic decisions
- Excellent communication skills to translate complex data concepts for both executive and technical audiences, and influence without authority.
- Expertise in designing end-to-end data architectures (conceptual, logical, physical) across complex ecosystems.
- Strong experience in canonical models, ontologies, and semantic layers to ensure consistent, business-friendly data representation.
- Working knowledge of modern data platforms and cloud ecosystems (Azure and Databricks) and AI platforms and how to architect for scalability and performance.
- Understanding of data governance principles and practices
- Strong collaboration skills to work with technical and business teams
- Strong analytical and problem-solving skills
- Ability to document and present data architecture and models effectively
- Experience in managing and delivering data-related projects
- Ability to prioritise tasks and manage time effectively.
Desirable Skills
- Experience of TOGAF, DAMA-DMBOK or a similar architectural framework
- Experience supporting machine learning, advanced analytics, and digital product initiatives
- Working knowledge of SQL and/or Python to query and manipulate data
- Experience in and Agile/Hybrid delivery environment
- Knowledge of working with EA tooling (for example: Aris, LeanIX)
- Experience with digital twins and geospatial data.