Data Modernization​/Fabric Architect Senior Manager

We Are:

We are the Accenture Microsoft Business Group (AMBG)—a unified team that brings together Accenture, Avanade, and Microsoft to help organizations transform with the full power of the Microsoft ecosystem.

We combine deep industry expertise, modern cloud and data capabilities, and next generation ‑generation AI—including Microsoft Copilot, Copilot Studio, Microsoft Foundry, Azure OpenAI, Fabric, and AMBG’s own accelerators—to help clients modernize, innovate, and achieve measurable business outcomes.

From cloud modernization to AI- enabled business reinvention, security and analytics, we partner closely with clients to design, build, and scale transformative Microsoft specific ‑specific solutions that create lasting impact across their enterprise.

You are a modern data architect who blends technical depth with clear, value-driven ‑ thinking. You excel at transforming legacy data estates into unified, AI ready platforms using Microsoft Fabric and Azure core services enabling AI driven solutions. You communicate confidently with both business and technical stakeholders and thrive in clients leveraging the Microsoft ecosystem ‑ready platforms using Microsoft Fabric and Azure.

You communicate confidently with both business and technical stakeholders and thrive in client - facing environments. You lead teams with clarity, structure, and a solutions- oriented mindset, staying ahead of emerging data and AI capabilities to drive continuous innovation.

As a Data Modernization / Microsoft Fabric Architect Senior Manager, you will lead the transformation of client data estates onto modern Microsoft data platforms, with a particular focus on Microsoft Fabric, Snowflake, and Databricks. You are a seasoned practitioner in Medallion architectures, adept at architecting and delivering unified, governed data platforms in multi-ecosystem environments. Your expertise spans data engineering, analytics, and data governance, ensuring that solutions are both robust and future-ready.

• Design and implement end-to-end data architectures leveraging Microsoft Fabric components—One Lake, Lakehouse, Databases, Analytics, Data Factory, RTI, IQ, Governance and Power BI—with a strong emphasis on Medallion architectural patterns.

• Lead the modernization of legacy analytics and data platforms (e.g., SQL Server, Exadata, SSIS, Snowflake, Tableau) into unified, cloud-scale architectures across Microsoft Fabric, Snowflake, and Databricks running on Azure.

• Develop value cases, modernization roadmaps, and reference architectures aligned to client business priorities, ensuring technical excellence across data engineering and data management.

• Define governance models, security frameworks, and compliant data management patterns for scalable data estates in multi-cloud environments.

• Collaborate with AI architects to enable AI-ready data foundations supporting GenAI and intelligent agentic solutions.

• Oversee technical delivery teams, ensuring architecture quality, performance, and reliability across data engineering, analytics, and governance.

• Drive innovation by evaluating and adopting new Microsoft Fabric and Databricks capabilities, developing reusable accelerators, and leveraging Fabric’s Copilot features to streamline engineering and analytical workflows.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

• Minimum 10+ years of experience in data architecture, enterprise-scale data platform design, and modern analytics, with demonstrable expertise in data engineering and data modernization programs.

• Minimum 8+ years of hands‑on experience with Lakehouse patterns, ETL/ELT frameworks, data governance, and BI/analytics solutions.

• Minimum 1‑2 years of experience architecting and delivering modern data platforms using Microsoft Fabric (including Data Factory), Snowflake, and Databricks, with substantial experience applying Medallion architecture across these environments.