Senior Data Architect - AI & Cloud Consulting

Metrica Recruitment; Greater London; Hybrid; GBP 60,000 - 70,000; Full time

Benefits offered by this job

Performance bonus

Flexible working arrangements

Exposure to enterprise-scale AI, data,

Varied consulting projects

Influence over architecture

Job summary

Metrica Recruitment seeks a Senior Data Architect specialising in AI and cloud consulting. You will design secure, scalable platforms across AWS, Azure or GCP and own key architecture choices for enterprise transformation projects.

You will shape data strategy, AI governance and responsible operating models, turning ideas into PoCs, MVPs and production designs, with frequent client interaction and senior stakeholder advisory.

Qualifications

• Strong background in cloud, data or AI architecture.
• Hands-on experience with AWS, Azure or GCP.
• Knowledge of cloud-native tooling, including containers, Kubernetes or serverless.
• Understanding of CI/CD, DevOps and Infrastructure-as-Code.
• Confident client-facing communication and stakeholder advisory skills.

Responsibilities

• Lead cloud data and AI architecture across enterprise transformation programmes.
• Design secure, scalable platforms across AWS, Azure or GCP.
• Modernise legacy estates into cloud-native, AI-ready environments.
• Shape data strategy, governance and responsible AI operating models.
• Deliver proofs of concept and MVPs that validate business value.
• Advise senior stakeholders on architecture, risk and technical direction.

Skills

Cloud architecture

Data architecture

AI architecture

AWS

Azure

GCP

Kubernetes

Containers

Serverless

CI/CD

DevOps

Infrastructure as Code

Tools

AWS

Azure

GCP

Kubernetes

Containers

Serverless

Terraform

Job description

Shape the cloud and data foundations behind enterprise AI. You’ll take ownership of architecture decisions across complex transformation programmes, combining modern engineering with practical delivery from early concept through to scalable production environments.

The Company

You’ll join a London-based technology and consulting practice delivering large-scale cloud, data and AI transformation. Its teams work with major UK and global organisations across public sector, financial services,telecoms and retail. The environment combines flexible working with varied enterprise projects, close collaboration and regular exposure to senior stakeholders. You’ll work on real challenges involving legacy modernisation, automation, governance and intelligent decision-making.

The Role

As a Senior Data Architect specialising in AI and cloud consulting, you’ll design secure,scalable and cost-efficient platforms across AWS, Azure or GCP. Your work will support traditional analytics, real-time data and emerging agentic AI workloads across hybrid and multi-cloud estates. You’ll own key architecture choices, help clients define technical direction and turn early ideas into practical solutions through proofs of concept, MVPs and production-focused design. Alongside technical delivery, you’ll shape data strategy, AI governance and responsible operating models that help organisations adopt AI with greater control and confidence.

• Lead cloud data and AI architecture across enterprise transformation programmes
• Design secure, scalable platforms across AWS, Azure or GCP
• Modernise legacy estates into cloud-native, AI-ready environments
• Shape data strategy, governance and responsible AI operating models
• Deliver proofs of concept and MVPs that validate business value
• Advise senior stakeholders on architecture, risk and technical direction

Benefits and Perks

The organisation gives senior specialists room to influence delivery while remaining close to modern technology and complex client work. As well as a starting salary of £60-70k, you will also get the following benefits:

• Performance-related bonus
• Flexible working arrangements
• Exposure to enterprise-scale AI, data and cloud programmes
• Varied consulting projects across major industries
• Influence over architecture, solution design and delivery approach

Requirements

Must-Have

• A strong background in cloud, data or AI architecture
• Hands-on experience with AWS, Azure or GCP
• Knowledge of cloud-native tooling, including containers, Kubernetes or serverless
• Understanding of CI/CD, DevOps and Infrastructure-as-Code
• Confident client-facing communication and stakeholder advisory skills

Nice-to-Have

• Experience working across hybrid or multi-cloud environments
• Consulting experience on enterprise transformation programmes
• Exposure to AI governance, PoCs, MVPs or agentic AI workloads