Data Architect (Senior Manager)

As a Data Senior Architect at Accenture, you shape data and AI solutions for large-scale client programs. You lead architecture work across data engineering and AI, guiding transformation roadmaps and platform choices. You collaborate with CIO/CTO/CDO stakeholders and cross-functional teams to deliver scalable data ecosystems. This role offers exposure to cutting-edge technologies and GenAI in a global, innovation-driven environment.

• competitive salary
• 30 days vacation
• private medical insurance
• 3 extra days leave for charitable work
• flexibility and mobility to work onsite with clients

• Lead and oversee the Data Engineering practice and capability development
• 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 lakes, lakehouses, data warehouses 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 CIO/CTO/CDO and senior technology stakeholders to shape data strategy and solutions
• Support solution shaping, proposals, estimates and business development activities
• Build relationships with clients and Microsoft partners
• Lead multi-disciplinary teams from inception to production with focus on technical excellence
• Contribute to the Accenture Data & AI community through thought leadership

• 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
• Complex programme planning and delivery in the data and AI domains

• Client-facing communication
• Stakeholder management
• Leadership and mentoring
• Microsoft Fabric
• Azure Databricks
• Azure Synapse