Agency:
Credera
Job Function:
Consulting
Job Subfunction:
Technology Consulting
Job 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!
We are looking for an experienced Data Platform Architect to play a pivotal role in shaping data and AI capabilities for our clients, with deep expertise in Microsoft Azure and cloud-native data, analytics and AI platforms across the data value chain. This is a senior role for someone who can set architectural direction, advise senior stakeholders and lead delivery teams, while integrating machine learning, Generative AI and Large Language Models into scalable, secure and sustainable solutions.
Requirements
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.
You will have:
Proven experience (8+ years) in data, analytics and AI platform architecture, design and delivery
Expertise in Microsoft Azure data and analytics services across the data value chain, with experience selecting appropriate platform capabilities for different client needs
Experience defining target architectures and roadmaps for modern data platforms spanning ingestion, storage, processing, governance, analytics and consumption
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, identity, 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.
Desirable skills
Public sector or regulated industry experience (government, healthcare or similar)
Experience with modern Azure data warehouse and lakehouse ecosystems, such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Azure Data Factory and Azure Data Lake Storage Gen2
Experience with Azure data integration and real-time analytics services, such as Event Hubs and Stream Analytics
Experience with Microsoft Purview, Microsoft Entra ID, managed identities and private connectivity patterns for governed enterprise data platforms
Experience integrating Azure data platforms with machine learning and AI capabilities, such as Azure Machine Learning and Microsoft Foundry
Familiarity with SQL and Python or Java
Experience with MLOps and Infrastructure as Code (Terraform or Bicep) for data, analytics and AI services
Strong understanding of CI/CD and modern approaches to IT and infrastructure delivery
Microsoft Azure architecture certification, with a data or AI specialism beneficial
Certification in modern data warehouse, lakehouse or AI ecosystems (Microsoft, Databricks, Snowflake or equivalent)
Experience using AI or Agentic techniques in application of the role through GitHub Copilot, Claude Code, or…