This role focuses on providing technical leadership and architectural design for data and AI solutions, working directly with clients to assess needs and build solutions within the Microsoft Azure ecosystem. It involves translating business strategy into technical designs, leading workshops, and architecting modern data platforms and modernisation pathways.
Data & AI Solutions Architect is a trusted technical advisor and design authority within a Data & AI practice. This role works directly with clients to lead discovery, assessment, and architecture engagements across the full spectrum of modern data and AI solution delivery – from greenfield platform builds to legacy modernisation programmes.
The architect translates business strategy and technical requirements into clear, well-structured architectural designs across conceptual, logical, and detailed levels, grounded in the Microsoft Azure ecosystem. Lead or contribute to data and AI advisory engagements, including current-state assessments, maturity evaluations, and technology gap analysis Facilitate structured discovery workshops with stakeholders across business, data, and technology functionsArchitecture Design Develop conceptual architectures to communicate vision and key design decisions to executive and business audiences Produce logical architectures defining components, data flows, integration patterns, and system interactions Create detailed technical architectures to guide implementation teams, including infrastructure, security, networking, and data designDesign modern data analytics platforms, including data lakehouse, medallion architecture, and real-time streaming solutionsDesign AI and machine learning solutions, including predictive analytics, generative AI integrations, and MLOps platformsBuild and maintain trusted relationships with client architects, technology leads, and senior stakeholdersSupport pre-sales activities, including solution scoping, estimation, and proposal development Proficiency in architectural patterns such as Lambda, Kappa, medallion/lakehouse, and event-driven architectures Understanding of data modelling approaches, including dimensional modelling, data vault, and semantic layer design Familiarity with DevOps and DataOps practices, including CI/CD pipelines, infrastructure-as-code , and version controlProven experience producing architecture artefacts at conceptual, logical, and detailed levelsExperience conducting technology assessments and developing actionable roadmapsExperience working in Agile delivery environmentsCertifications Microsoft Certified: Azure Solutions Architect Expert Client satisfaction and strength of trusted advisor relationships
Data Architecture AI Solutions Microsoft Azure Data Modernization Cloud Computing
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