> Markdown version of [/jobs/ext/4123692-senior-microsoft-data-engineer](https://www.wearedevelopers.com/jobs/ext/4123692-senior-microsoft-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Microsoft Data Engineer - **Company:** Accenture - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Architectural Patterns, Microsoft Azure, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Systems, Data Warehousing, Microsoft Data Access Components, Metadata, Microsoft Software, Power BI, Azure Data Lake, Systems Integration, Azure Data Factory, Generative AI, Data Strategy, Microsoft Fabric, Data Lakes, Azure Synapse Analytics, Databricks - **Published:** October 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2011dae0496ad456 ## About the Role * Experience in Data Architecture, Data Engineering or Technology Architecture. * Strong enterprise experience with Microsoft Azure Data and Analytics. * Hands-on architectural experience with Microsoft Fabric and/or Azure Databricks/Synapse. * Strong knowledge of data modelling, data lakes, lakehouses, data warehouses and data integration. * Experience with data governance, security, privacy and Microsoft Purview. * Understanding of AI/ML and Generative AI data architectures. * Proven experience leading technical teams and large-scale transformation programmes. * Strong client-facing, communication and stakeholder-management skills. * Experience in consulting, systems integration or large enterprise environments is desirable * Commercial experience in Azure cloud platform(Azure), preferably with relevant certifications. * Expertise across key data domains including data modelling, pipelining, governance, and data consumption. * Excellent communication and collaboration skills. * Experience working in client facing environments and a proven track record in architecting complex data solutions. * Experience leading technical teams, coordinating across project streams to deliver high-quality Data and AI solution ## Description * Architect modern data platforms using Microsoft Fabric, Azure Databricks, Azure Synapse, Azure Data Factory, Azure Data Lake and Power BI. * Design scalable data lake, lakehouse, data warehouse and data integration solutions. * Establish data governance, security, quality, metadata and lineage using Microsoft Purview. * Provide architecture leadership for Data & AI, analytics and Generative AI initiatives. * Lead architecture reviews, technology selection and technical assurance across major programmes. * Engage with senior technology stakeholders to shape data strategy and solutions. * Lead and mentor Data Architects, Data Engineers and technical teams. * Support solution shaping, proposals, estimates and business development activities. * Build strong relationships with clients and Microsoft technology partners * Help shape strategy and roadmaps for improving client AI and Data architectures * Provide ongoing architectural support for delivery teams, ensuring solutions are technically sound, scalable, and aligned with agreed architecture principles throughout the delivery lifecycle. * Contribute to architectural thought leadership by sharing ideas on innovation, emerging technologies, and modern data and AI architecture patterns across client and internal forums * Lead and mentor junior architects, providing guidance on architectural patterns, standards, and best practices while supporting their professional development. * Drive innovation in data and AI architecture by prototyping new technologies and developing proofs of concept to validate ideas and inform client and internal recommendations. * Establish and maintain strong relationships with client architecture and technology stakeholders, acting as a trusted advisor to ensure alignment between client objectives, architectural direction, and delivery outcomes.