Queen Square Recruitment
Senior Enterprise Architect
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Senior Enterprise Architect – Data & AI
💰 £550/day (Inside IR35)
📍 London (2 days per week onsite)
📅 12-Month Contract
Our client is looking for an experienced Senior Enterprise Architect – Data & AI to join a major enterprise Data, Analytics & AI transformation programme. This is a senior architecture role focused on shaping enterprise data architecture, cloud-native data platforms, real-time data patterns, and data governance. You’ll define future-state and North Star architectures, establish reusable enterprise design patterns, and work closely with engineering, platform, and delivery teams to turn strategic architecture into pragmatic technology solutions.
Key Responsibilities
- Define high-level, target-state, and North Star architectures for Data & AI capabilities.
- Develop strategic technology views and roadmaps, including emerging approaches such as Architecture as Code.
- Shape scalable cloud-native data architectures across Azure and/or GCP.
- Define enterprise patterns for data sourcing, integration, ETL/ELT, data modelling, and real-time streaming.
- Develop reusable enterprise architecture and data design patterns.
- Shape transition-state architectures and guide programmes from current to target state.
- Define tooling strategies and data delivery patterns across complex enterprise environments.
- Provide architectural guidance covering strategy, principles, standards, and guardrails.
- Identify cross-domain architectural dependencies, risks, and design considerations.
- Partner with workstream leads, engineering, platform, and delivery teams to shape scope, requirements, and architecture roadmaps.
- Contribute to data management, governance, and architecture assurance within a regulated environment.
- Influence senior internal and external stakeholders on strategic technology decisions.
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Essential Skills
- Strong Enterprise Architecture / Data Architecture experience within large, complex organisations.
- Deep knowledge of modern enterprise data platforms and architectures.
- Experience designing scalable cloud-native data architectures on Azure and/or GCP.
- Strong knowledge of cloud database technologies and distributed systems.
- Hands-on architectural knowledge of real-time data and streaming architectures.
- Strong understanding of ETL/ELT, data sourcing, and data integration patterns.
- Strong knowledge of data modelling techniques, including architectural trade-offs.
- Understanding of enterprise data management and governance best practices, ideally within a regulated organisation.
- Ability to translate complex architectures into reusable enterprise design patterns.
- Strong stakeholder management and ability to navigate a complex technology estate.
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Desirable Skills
- Exposure to AI/ML and enterprise AI, particularly its impact on data architecture and data platform requirements.
- Experience with data automation and Data Contracts.
- Knowledge of data governance/catalogue technologies such as Microsoft Purview, Collibra, Google Dataplex, or Ataccama.
- Experience with Master Data Management (MDM) and Reference Data Management.
- Strong practical experience delivering real-time data architecture patterns.
- Experience working within banking, financial services, or another highly regulated enterprise.
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