Data Architect (Senior Manager)

Overview

In this role you will lead and shape data and AI initiatives for clients, bridging strategy and implementation. You’ll architect modern data platforms and guide complex transformations across industries, leveraging the latest Azure and GenAI technologies. You’ll work with cross-functional teams and senior stakeholders to deliver enterprise-scale data and AI solutions that drive business outcomes. This role offers strong leadership, a chance to influence technology roadmaps, and active involvement in the Accenture Data & AI community.

Pay / Benefits

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

Responsibilities

• Oversee development of use-case and platform solutions to address critical business challenges
• 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 with Microsoft Purview
• Lead architecture reviews, technology selection and technical assurance across major programmes
• Engage with CIO/CTO/CDO and senior stakeholders to shape data strategy and solutions
• Support solution shaping, proposals, estimates and business development
• Lead multi-disciplinary teams to deliver end-to-end solutions from inception to production
• Provide strategic and technical leadership, mentoring, and architectural guidance
• Contribute to thought leadership within the Accenture Data & AI community

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 Microsoft Purview
• Understanding of AI/ML and Generative AI data architectures
• Proven track record leading technical teams and large-scale transformation programmes
• Strong client-facing, communication and stakeholder-management skills
• Consulting, systems integration or large enterprise environment experience desirable
• Complex programme planning and delivery in data and AI domains
• Certified cloud credentials (e.g., AWS Certified Solutions Architect – Professional) as a differentiator

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

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