Jobs → Data & Analytics → Power BI Architect

About the Role The Power BI Architect is responsible for defining and governing the enterprise reporting and analytics platform using Microsoft Power BI and Microsoft Fabric. This role leads architecture design, semantic modeling standards, platform governance, security, AI enablement, and deployment strategies to deliver scalable, secure, and trusted analytics solutions across the organization. Key Responsibilities • Define and maintain enterprise Power BI and Microsoft Fabric architecture, standards, and best practices. • Design scalable semantic models, reporting solutions, and self-service analytics frameworks. • Establish governance standards for workspaces, capacities, deployment pipelines, metadata, data certification, and security. • Architect and manage Dev, Test, and Production environments, ensuring controlled promotion and platform reliability. • Design and implement security controls, including Row-Level Security (RLS), workspace access models, and data governance policies. • Partner with Data Engineering teams to integrate Fabric, Databricks, Azure services, operational systems, and third-party data sources. • Lead capacity planning, performance optimization, monitoring, and platform adoption initiatives. • Drive AI enablement by implementing Copilot, conversational analytics, AI-powered insights, executive narratives, and governed AI experiences using certified semantic models. • Provide technical leadership, architecture reviews, and mentoring for Power BI developers, analysts, and delivery teams. • Evaluate emerging Microsoft Fabric, Power BI, and AI capabilities and develop adoption roadmaps. Requirements • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field. • 8+ years of experience in Business Intelligence, Data Warehousing, or Analytics platforms. • 5+ years of experience architecting enterprise Power BI solutions. • Strong expertise in Microsoft Fabric, Power BI Service, Power BI Administration, DAX, Power Query, and dimensional modeling. • Experience with Azure, Databricks, SQL Server, Lakehouse architectures, and enterprise data platforms. • Deep understanding of governance, security, DevOps, CI/CD, deployment pipelines, and reporting lifecycle management. • Experience designing enterprise-scale semantic models and self-service reporting frameworks. • Strong stakeholder management and communication skills with both technical and business audiences.