Senior AI Data Platform Architect for Cloud-Native AI

Metrica Recruitment; Greater London; Híbrido; GBP 90.000 - 130.000; Jornada completa

Descripción de la vacante

Metrica Recruitment is seeking a senior architect to shape AI-ready data platforms and cloud transformations across AWS, Azure, or GCP. You will design scalable, secure, cost-efficient cloud data platforms and modernise legacy systems for real-time data and intelligent decisioning.

You’ll advise clients on AI strategy, data roadmaps and governance, while contributing to delivery through PoCs, MVPs and early-stage solution design in hybrid/multi-cloud environments.

Formación

• Strong background in cloud, data or AI architecture roles.
• Hands-on experience across AWS, Azure or GCP platforms.
• Experience with containers, Kubernetes, serverless or cloud-native tooling.
• Understanding of CI/CD, DevOps and Infrastructure-as-Code.
• Consulting or client-facing experience with strong communication skills.
• Ability to translate complex technical ideas into business outcomes.

Responsabilidades

• Design and lead enterprise cloud data and AI architectures.
• Modernise legacy platforms into cloud-native, AI-ready environments.
• Build scalable solutions across AWS, Azure and GCP environments.
• Define data strategy, governance and AI operating models.
• Deliver PoCs and MVPs to validate architecture and business value.
• Advise senior stakeholders on technical direction and transformation approach.

Conocimientos

Cloud architecture

AWS/Azure/GCP

Kubernetes

Terraform

CI/CD

Stakeholder communication

Herramientas

Kubernetes

Terraform

CI/CD tooling

Descripción del empleo

Metrica Recruitment is seeking a senior architect to shape AI-ready data platforms and cloud transformations across AWS, Azure, or GCP. You will design scalable, secure, cost-efficient cloud data platforms and modernise legacy systems for real-time data and intelligent decisioning.

You’ll advise clients on AI strategy, data roadmaps and governance, while contributing to delivery through PoCs, MVPs and early-stage solution design in hybrid/multi-cloud environments.