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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Data Platform Architect, Technology Consulting- London, Leeds, Manchester orNewcastle - **Company:** Credera - **Location:** London, UK - **Experience:** Expert - **Salary:** £82,000.0 - £95,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, BigQuery, Information Technology Consulting, Continuous Integration, Data Warehousing, Information Lifecycle Management, Python (Programming Language), Machine Learning, SQL Databases, Data Streaming, Cloud Platform System, GitHub Copilot, Large Language Models, Snowflake, Generative AI, Cloudformation, SC Clearance, AI Platforms, Data Analytics, AWS Data Analytics, Data Management, Machine Learning Operations, Api Design, Terraform, Azure Synapse Analytics, Amazon Redshift, Databricks, Microservices - **Published:** August 30, 2026 - **Apply:** https://www.collegerecruiter.com/job/2825797429-aws-data-platform-architect-technology-consulting-london-leeds-manchester-ornewcastle ## About the Role You will combine hands-on architecture with senior leadership, owning complex areas of delivery and bringing the best of modern data and AI engineering to public sector and regulated clients., * Proven experience (8+ years) in data, analytics and AI platform architecture, design and delivery * Expertise in AWS cloud-native data and analytics platforms across the data value chain * Experience designing scalable platform components spanning batch and real-time/streaming processing across microservices- and API-driven architectures * Experience integrating machine learning, Generative AI and foundation models into enterprise solutions, including agentic AI approaches * Experience implementing robust data management, security and governance for public sector and regulated environments, applying responsible AI principles * Proven ability to lead multiple, complex areas of work to time, cost and quality with minimal direction, managing large teams as the key point of escalation * Ability to partner with and influence senior stakeholders, navigating the political landscape of client delivery to achieve programme objectives * A track record of understanding the whole risk landscape and standing up multi-functional teams of SMEs to resolve issues * Recognised as a subject matter expert driving innovation and market-leading practices across multiple clients and industries * Strong understanding of cloud-centric solution design, the full data lifecycle, and MLOps/AIOps * Experience mentoring engineers and architects, building capability in junior team members and client counterparts * You will be required to hold active SC clearance for this role., * Public sector or regulated industry experience (government, healthcare or similar) * Experience with modern data warehouse and lakehouse ecosystems (Redshift, Snowflake, Databricks, BigQuery, Synapse) * Familiarity with SQL and Python or Java * Experience with MLOps and Infrastructure as Code (Terraform, CloudFormation etc.) for data, analytics and AI services * Strong understanding of CI/CD and modern approaches to IT and infrastructure * Cloud platform architecture certification, with a data or AI specialism beneficial * Certification in modern data warehouse / AI ecosystems (Redshift, Snowflake, Databricks etc.) * Experience using AI or Agentic techniques in application of the role through GitHub CoPilot, Claude Code, or equivalent ## Description Are you passionate about shaping the future of data and AI on modern cloud platforms? Does the idea of working for different public sector and regulated clients on complex, business-critical projects excite you? If yes, then read on! ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. 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