Senior Microsoft Data Engineer

As Data Engineer Manager you shape data architecture and analytics solutions for client engagements in the Data & AI practice. You will define data strategies, architect modern platforms, and lead technical teams to deliver scalable data and AI capabilities. You collaborate with senior stakeholders and cross-functional teams to drive data-driven transformation. This role offers exposure to cutting-edge technologies and a path to architectural thought leadership within a global network.

• 30 days vacation
• gym subsidy
• private medical insurance
• 3 extra days leave per year for charitable work

• Define enterprise data strategies, target architectures and transformation roadmaps
• 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 scalable and aligned with principles
• Contribute to architectural thought leadership by sharing ideas on innovation and patterns
• Lead and mentor junior architects, guiding architectural patterns and best practices
• Drive innovation in data and AI architecture by prototyping new technologies and proofs of concept
• Establish and maintain relationships with client stakeholders as trusted advisor

• 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
• 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, preferably with relevant certifications
• Expertise across data domains including modelling, pipelining, governance, and data consumption
• Excellent communication and collaboration skills
• Experience in client-facing environments and architecting complex data solutions
• Experience leading technical teams across project streams to deliver Data and AI solutions

• leadership
• stakeholder management
• communication
• Microsoft Fabric
• Azure Databricks
• Azure Synapse