Data Modernization Architect Manager

About Us: We are the Accenture Microsoft Business Group (AMBG) - a collaborative team integrating Accenture, Avanade, and Microsoft to empower organizations through the complete Microsoft ecosystem. Our focus is on harnessing industry expertise and cutting-edge cloud and data capabilities, including next-generation AI tools like Microsoft Copilot and Azure OpenAI, to drive transformation and measurable business results. Your Role: As a modern data architect, you excel at evolving legacy data systems into unified, AI-ready platforms utilizing Microsoft Fabric and Azure. Your strong communication skills enable you to connect with both business and technical stakeholders, making you a vital presence in client-facing environments. You lead your teams with clarity and a solutions-oriented mindset, staying ahead of emerging data and AI trends to foster continuous innovation. Position Overview: In the capacity of a Data Modernization Architect Manager, you will spearhead the migration of client data systems to modern platforms, particularly focusing on Microsoft Fabric (including Data Factory), Snowflake, and Databricks. Your extensive experience in Medallion architectures will allow you to create and deliver cohesive and governed data platforms across various ecosystems. You will ensure that your solutions are resilient and adaptable for future needs. Key Responsibilities: Design and deliver end-to-end data architectures using Microsoft Fabric components such as OneLake, Lakehouse, Data Warehouse, Data Engineering, Data Factory, and Power BI, with a focus on Medallion architecture. Lead the upgrade of traditional data platforms (e.g., SQL Server, SSIS, Snowflake, Tableau) to integrated cloud-scale architectures across Microsoft Fabric, Snowflake, and Databricks. Create value cases, modernization strategies, and reference architectures aligned with client business goals, emphasizing technical excellence in data engineering and management. Establish governance frameworks, security protocols, and compliant data management practices for scalable data environments in multi-cloud settings. Work in collaboration with AI architects to establish AI-ready data platforms that support Generative AI and intelligent agent scenarios. Oversee technical teams, ensuring high standards of architecture quality, performance, and reliability within data engineering, analytics, and platform operations. Encourage innovation by assessing and integrating new functionalities from Microsoft Fabric and Databricks, developing reusable tools, and utilizing Fabric's Copilot features to enhance workflows. Travel may be required for this role, ranging from 25% to 75% depending on business demands and client engagements. Qualifications: Bachelor's degree or equivalent work experience (minimum 12 years). If holding an Associate's Degree, a minimum of 6 years of experience is required. At least 5 years of experience in data architecture and designing enterprise-scale data platforms, with proven expertise in data engineering and modernization initiatives. A minimum of 3 years of practical experience with Lakehouse patterns, ETL/ELT frameworks, data governance, and business intelligence solutions. 1-2 years of experience in architecting and implementing modern data platforms utilizing Microsoft Fabric (including Data Factory), Snowflake, and Databricks, with significant experience applying Medallion architecture in these settings. Preferred Qualifications: Extensive knowledge of Microsoft Fabric components across analytics, engineering, governance, and reporting. Experience facilitating AI/ML or Generative AI initiatives on enterprise data platforms. Prior experience consulting at the C-level in intricate, multi-ecosystem data transformation projects. Comprehensive skills across the entire data lifecycle—including engineering, analytics, and platform management—within diverse ecosystems. Ability to effectively utilize Microsoft Fabric's Copilot features to improve engineering and analytics processes. A successful history of leading, delivering, and selling large, complex data transformation initiatives involving multidisciplinary teams. Compensation at Accenture varies based on various factors, including office location, role, skill set, and experience level. As required by local law, Accenture provides a reasonable compensation range for roles. This posting is anticipated to remain open for at least 3 days. Accenture offers a comprehensive benefits package which includes medical, dental, vision, life, and long-term disability coverage, as well as a 401(k) plan, bonus opportunities, paid holidays, and time off.

Created: 2026-03-04