About The Position

As a Data Modernization / Microsoft Fabric Architect Manager, you will lead the transformation of client data estates onto modern Microsoft data platforms, with a particular focus on Microsoft Fabric (including Data Factory within 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 platform domains, ensuring that solutions are both robust and future-ready.

Requirements

  • Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)
  • Minimum 5+ 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 3+ 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.

Nice To Haves

  • Deep expertise in Microsoft Fabric components across analytics, engineering, governance, and reporting.
  • Experience enabling AI/ML or GenAI workloads on top of enterprise data platforms.
  • Prior C-level consulting experience in delivering complex, multi-ecosystem data transformation programs.
  • Proven skills across the entire data lifecycle—including data engineering, analytics, and platform management—within multi-ecosystem environments.
  • Ability to leverage Microsoft Fabric’s Copilot features to enhance engineering and analytics workflows.
  • Track record of selling, delivering, and leading large, multidisciplinary technical teams in complex data transformation projects.

Responsibilities

  • Design and implement end-to-end data architectures leveraging Microsoft Fabric components—OneLake, Lakehouse, Data Warehouse, Data Engineering, Data Factory, and Power BI—with a strong emphasis on Medallion architectural patterns.
  • Lead the modernization of legacy data platforms (e.g., SQL Server, SSIS, Snowflake, Tableau) into unified, cloud-scale architectures across Microsoft Fabric, Snowflake, and Databricks.
  • 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 agent scenarios.
  • Oversee technical delivery teams, ensuring architecture quality, performance, and reliability across data engineering, analytics, and platform operations.
  • 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.

Benefits

  • Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.
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