Data Architect
Location: London, Leeds, Manchester or Newcastle (Hybrid)
Salary: £80,000 - £90,000 + Bonus + Comprehensive Benefits
The Opportunity
A leading technology and transformation consultancy is seeking an experienced AWS Data Platform Architect to join its growing Data & AI practice.
This is an opportunity to work on complex, business-critical programmes for large public sector and regulated organisations, helping clients unlock the value of their data through modern cloud-native platforms, advanced analytics, machine learning, and Generative AI.
The successful candidate will play a key role in defining architectural strategy, advising senior stakeholders, and leading multidisciplinary teams to deliver secure, scalable, and future-proof data and AI solutions.
Key Responsibilities
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Define and lead the architecture of enterprise-scale AWS data, analytics, and AI platforms.
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Design cloud-native solutions spanning data ingestion, transformation, storage, analytics, machine learning, and AI capabilities.
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Develop scalable architectures supporting both batch and real-time data processing.
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Lead the integration of machine learning, Generative AI, foundation models, and agentic AI solutions into enterprise environments.
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Provide architectural leadership across multiple workstreams and programmes.
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Engage with senior business and technical stakeholders to shape strategy and define roadmaps.
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Ensure solutions meet governance, security, compliance, and responsible AI requirements.
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Drive best practices across data architecture, platform engineering, MLOps, and cloud operations.
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Identify risks, dependencies, and technical challenges while leading teams through successful delivery.
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Mentor architects, engineers, and technical specialists, helping to develop capability across teams.
Skills & Experience Required
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8+ years' experience delivering data, analytics, AI, or cloud platform architecture solutions.
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Strong expertise across AWS cloud-native data and analytics services.
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Proven experience designing enterprise-scale data platforms and modern cloud architectures.
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Strong understanding of data engineering, data management, governance, security, and platform design.
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Experience designing solutions involving machine learning, Generative AI, LLMs, and AI-enabled applications.
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Expertise across the full data lifecycle, from ingestion and processing through to analytics and AI consumption.
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Experience leading technical delivery teams and managing multiple complex workstreams.
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Excellent stakeholder management and communication skills with the ability to influence senior decision-makers.
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Strong understanding of MLOps, AIOps, cloud operations, and modern software delivery practices.
Desirable Experience
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Experience working within public sector, government, healthcare, financial services, or other highly regulated environments.
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Knowledge of modern data warehouse and lakehouse technologies such as Snowflake, Databricks, Redshift, Synapse, or BigQuery.
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Experience with Infrastructure as Code tools such as Terraform or Cloud Formation.
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Knowledge of CI/CD pipelines and DevOps practices.
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Familiarity with SQL, Python, or Java.
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Cloud architecture certifications and data or AI specialisations.
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Experience leveraging AI-assisted engineering tools such as GitHub Copilot, Claude Code, or similar platforms.
What's on Offer
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Salary between £82,000 and £95,000.
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Performance-related bonus.
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Comprehensive benefits package.
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Hybrid working model.
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Access to large-scale cloud, data, and AI transformation programmes.
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Ongoing professional development and certification support.
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Opportunity to work with leading organisations across multiple industries.
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Clear progression opportunities within a high-growth consulting environment.
Eligibility
Due to the nature of the work, candidates must be eligible to obtain UK Security Clearance (SC).
Applicants should have:
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The right to work in the UK.
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Continuous UK residency in line with current security clearance requirements.
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The ability to work on projects involving sensitive or regulated environments.
This role is ideal for an experienced architect looking to shape the future of data and AI platforms while working on some of the most challenging and impactful transformation programmes in the UK.
