Microsoft Fabric Architect

Kforce has a client in Denver, CO that is seeking a Microsoft Fabric Architect. Responsibilities:

• Assess Microsoft Fabric architecture, including tenant settings, workspaces, capacities, data stores, integration patterns, and Power BI dependencies
• Recommend architecture approaches for OneLake, Lakehouse, Warehouse, semantic models, Direct Lake, data pipelines, and reporting workloads
• Design reusable ingestion, transformation, and orchestration patterns using Fabric Data Factory, Dataflows Gen2, notebooks, and Lakehouse/Warehouse solutions
• Support integration planning for enterprise applications, APIs, files, reporting datasets, and cloud data assets
• Establish governance, security, access controls, deployment standards, and environment separation across development, test, and production
• Assess capacity sizing, performance, storage usage, monitoring, and cost optimization strategies
• Recommend operational dashboards, alerts, runbooks, and adoption best practices
• Define DevOps processes, source control standards, deployment pipelines, naming conventions, and documentation requirements
• Provide workshops, knowledge transfer, and technical guidance for administrators, engineers, and reporting teams
• 5+ years of experience working with Microsoft data and analytics platforms, including Microsoft Fabric, Power BI, Azure Data Factory/Fabric Data Factory, OneLake, Lakehouse and Warehouse architecture, semantic modeling, governance, deployment pipelines, and enterprise reporting environments

• Technical assessment identifying current-state findings, risks, gaps, and prioritized recommendations
• Reference architecture and implementation roadmap covering workspace strategy, governance, capacity planning, and deployment approach
• Standards and operating procedures for security, access management, monitoring, source control, and environment promotion
• Proof-of-concept support for representative workloads, such as data pipelines, Lakehouse/Warehouse models, semantic models, Direct Lake reporting, or governance workflows
• Final presentation with recommendations, documentation, key decisions, dependencies, and next steps

• Long-term managed services or production support
• Full migration of existing reporting, data warehouse, or data lake environments unless separately defined
• Custom application development outside Microsoft Fabric, Power BI, Azure, or approved integration technologies
• Penetration testing or unrelated cloud security assessments