Senior Microsoft Data Engineer

As a Data Engineer Manager in Accenture’s Data & AI practice, you will lead enterprise data initiatives and shape modern data platforms for global clients. You’ll guide architecture decisions, governance and AI-enabled solutions while mentoring teams and collaborating with senior stakeholders. This role combines hands-on architectural leadership with client-facing delivery across cloud data ecosystems. You will work on cutting-edge data and AI projects that scale transformation for large organisations.

• 30 days vacation
• gym subsidy
• private medical insurance
• 3 extra days leave per year for charitable work
• flexibility and mobility to visit client sites
• extensive benefits package

• 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 to ensure scalable, principled solutions
• Contribute to architectural thought leadership and innovation discussions across forums
• Lead and mentor junior architects, guiding patterns, standards and best practices
• Drive innovation in data and AI architecture through prototyping and PoCs
• Establish and maintain relationships with client stakeholders as a trusted advisor

• Data Architecture or Data Engineering or Technology Architecture experience
• 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
• Commercial Azure cloud platform experience, with relevant certifications
• Expertise across data modelling, pipelining, governance, and data consumption
• Excellent communication and collaboration skills
• Experience leading technically across project streams to deliver data and AI solutions
• Experience coordinating across streams to deliver high-quality data solutions

• leadership
• stakeholder-management
• collaboration
• Microsoft Azure Data and Analytics
• Microsoft Fabric
• Azure Databricks