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Enterprise Architect

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Nigel Frank
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, Data Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 GBP Yearly GBP 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Enterprise Architect - Contract

Location:

Central London (Hybrid, 3 days on site)
Outside IR35

Key Responsibilities

Strategy and Architecture Leadership

  • Define and maintain the enterprise architecture vision, principles, and target state aligned to business, digital, and data strategies.
  • Develop architecture roadmaps and transition states that support both incremental delivery and long-term transformation.
  • Establish enterprise approaches for integration, data, and AI architectures, ensuring consistency, reuse, and governance.
  • Ensure architectural decisions address scalability, resilience, security, regulatory compliance, ethical AI, and cost efficiency.

Integration, iPaaS and Platform Architecture

Essential Experience
  • Typically 8+ years in architecture roles, including Enterprise or Lead Architect positions.
  • Experience in complex, integration-heavy, data-driven environments.
  • Strong background across business, application, data, integration, AI, and technology architecture domains.
  • Deep understanding of platforms such as Salesforce, Sitecore, Microsoft Dynamics, or Success Factors.
  • Strong communication and influencing skills at executive level.
  • Familiarity with architecture frameworks (e.g., "TOGAF") is desirable but not essential.
Integration and iPaaS Expertise
  • Deep understanding of enterprise integration patterns and iPaaS platforms.
  • Experience with API management, event-driven systems, and SaaS ecosystems.
  • Knowledge of cloud platforms (AWS, Azure, or GCP).
Desirable AI and Data Architecture Skills
  • Understanding of AI and machine learning architectures, including data foundations and model lifecycle.
  • Awareness of generative AI architectures and integration patterns.
  • Strong appreciation of ethical AI, governance, risk, and compliance.

Please send me a copy of your CV if you're interested

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