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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