Senior Microsoft Data Engineer

Overview

As a Data Engineer Manager in Accenture’s Data & AI practice, you drive enterprise data strategies and modern architectures for large clients. You’ll lead architecture efforts, mentor teams and shape AI-enabled data solutions that scale in Microsoft Azure. The role blends hands-on architecture with client engagement and business development, within a culture that values innovation and collaboration. You’ll work on cutting-edge data platforms and contribute to thought leadership in data and AI.

Pay / Benefits

• competitive salary
• 30 days vacation
• gym subsidy
• private medical insurance
• 3 extra days leave per year for charitable work
• onsite client work flexibility

Responsibilities

• Define enterprise data strategies, target architectures and roadmaps
• Architect modern data platforms using Azure technologies (Fabric, Databricks, Synapse, Data Factory, Data Lake)
• Design scalable data lake, lakehouse and data warehouse solutions
• Establish data governance, security, quality, metadata and lineage (Purview)
• Provide architecture leadership for Data & AI, analytics and Generative AI initiatives
• Lead architecture reviews, technology selection and technical assurance
• Engage with senior technology stakeholders to shape data strategy
• Lead and mentor Data Architects and Data Engineers
• Support solution shaping, proposals, estimates and business development
• Build relationships with clients and Microsoft technology partners
• Shape strategy and roadmaps for client AI and data architectures
• Provide ongoing architectural support ensuring scalable, principled delivery
• Contribute to architectural thought leadership and best practices
• Mentor junior architects and drive their professional development
• Drive innovation in data and AI architecture through prototypes and PoCs
• Maintain strong client relationships as trusted advisor to align objectives and delivery

Key requirements

• 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 Purview
• Understanding of AI/ML and Generative AI data architectures
• Proven leadership of technical teams and large-scale transformations
• Strong client-facing, communication and stakeholder-management skills
• Experience in consulting, system integration or large enterprises 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 architecting complex data solutions in client-facing environments
• Experience coordinating across project streams to deliver Data & AI solutions

• Client-facing communication
• Stakeholder management
• Mentoring and coaching
• Microsoft Azure Data & Analytics
• Microsoft Fabric
• Azure Databricks

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