Platform Architect

Salary: £? - ? per year

Requirements

• SFIA level 6 or above
• Proven experience architecting large-scale cloud-based data platforms
• Strong expertise in Databricks architecture and platform administration
• Hands‑on experience with Azure cloud services
• Deep understanding of DevOps, CI/CD, Infrastructure as Code, and automation frameworks
• Experience implementing FinOps practices and cloud cost optimization strategies
• Strong understanding of data governance, security, and compliance requirements
• Experience leading platform transformation and modernization programmes
• Stakeholder management experience across technical and business functions
• Technical skills in Azure and Terraform
• Experience with platform engineering
• Experience with Databricks Serverless capabilities
• Cloud administration experience
• Experience with platform cost management
• Experience with governance and compliance controls
• Ability to manage platform operational overhead
• Ability to manage platform reliability and performance
• Ability to manage security and supportability

Responsibilities

• Lead platform modernization initiatives aligned with enterprise technology and data strategies
• Lead the design and implementation of Databricks Serverless capabilities across the platform
• Establish governance and monitoring frameworks to track Serverless consumption and ROI
• Establish workload governance
• Lead enterprise‑wide FinOps adoption across the EDP ecosystem
• Define and implement a FinOps operating model
• Establish cost accountability across business and engineering teams
• Design tagging standards and policy controls
• Implement automated cost governance within DevOps deployment pipelines
• Enable user‑level and project‑level cost visibility and reporting
• Implement budget controls, spending guardrails, and proactive alerting mechanisms
• Architect the expansion of the Enterprise Data Platform to support capabilities currently delivered through POSIT/RStudio
• Design a consolidated analytics and data science platform on Databricks
• Enable notebook‑based development, data science experimentation, MLOps, API integrations, and application deployment
• Support external data ingestion, scheduling, BI connectivity, developer tooling, and operational reporting
• Enable AI and LLM integration patterns
• Develop migration strategies for workloads currently hosted on POSIT
• Define and implement platform engineering standards and self‑service capabilities
• Design Infrastructure as Code solutions using Terraform and cloud‑native tooling
• Implement CI/CD pipelines for platform deployments and data engineering workloads
• Automate platform provisioning, governance, monitoring, and compliance controls
• Integrate security and policy enforcement into DevSecOps processes
• Establish platform observability using monitoring and logging frameworks

Technologies

• AI
• API
• Architect
• Azure
• CI/CD
• Cloud
• Databricks
• DevSecOps
• DevOps
• Support
• LLM
• Security
• Serverless
• Terraform

More

We are seeking a Platform Architect to lead the evolution of our Enterprise Data Platform (EDP), driving platform engineering, FinOps, DevOps automation, and data engineering capabilities across the organization. This is a 4-month contract based in London, with 3 days a week in the office, and an umbrella rate of up to £524.40 per day. The role offers the opportunity to combine strategic architecture leadership with hands‑on cloud, Databricks, Azure, and automation expertise to deliver measurable business value, modernise our EDP landscape, and improve operational and cost efficiency.

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