Infrastructure Architect

Director / Executive Director, Infrastructure Architect London, Hybrid, 3 days per week on-site £140,000 to £175,000 base + variable bonus A leading financial services organisation is looking for a senior Infrastructure Architect to help define and drive the target-state architecture for its enterprise infrastructure estate.

This is a senior transformation role with a major focus on data centre consolidation and exit, VDI/EUC rationalisation, hybrid cloud architecture, resilience and infrastructure cost optimisation. Key Responsibilities Define the target-state infrastructure architecture across data centres, cloud and end-user computing.

Lead architecture for data centre consolidation, migration and decommissioning. Drive VDI/EUC rationalisation and modernisation. Develop workload placement strategies across on-premises, colocation and cloud. Define infrastructure principles, standards, reference architectures and multi-year roadmaps.

Identify opportunities to simplify the estate, reduce technical debt and optimise infrastructure costs. Ensure resilience, scalability, security and operational recoverability are embedded into designs. Work across infrastructure engineering, cloud, cybersecurity, enterprise architecture and business stakeholders.

Support the organisation's adoption of AI, including the infrastructure and platform capabilities required to enable AI workloads securely. Experience Significant experience as an Infrastructure Architect within a large enterprise environment.

Strong Financial Services experience, ideally banking, capital markets or investment banking. Proven delivery of major data centre migration, consolidation or exit programmes. Strong knowledge across VMware/virtualisation, compute, storage, networking, backup and DR.

Experience with VDI/EUC platforms, such as Citrix, VMware Horizon or Azure Virtual Desktop. Strong hybrid-cloud experience across Azure, AWS and/or GCP. Experience developing infrastructure strategy, standards, governance and target-state roadmaps.

Strong senior stakeholder management and ability to influence engineering direction. Exposure to AI-related infrastructure, platforms or enterprise AI adoption would be highly relevant.

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