Power BI Admin & Microsoft Fabric Admin Consultant

Infosys

About The Position

The Power BI Admin & Microsoft Fabric Admin Consultant works in the assigned job role of Domain Project Lead 1 within Infosys’s Retail, Consumer Goods, and Logistics unit. The role administers and governs enterprise-scale Power BI and Microsoft Fabric environments, establishes governance and architecture standards, and supports analytics modernization and migration to cloud-native platforms. The position also includes project leadership responsibilities, coordinating technical teams and clients, monitoring project quality and delivery, and supporting domain-specific advisory and consulting initiatives.

Requirements

Bachelor’s degree or foreign equivalent from an accredited institution, or three years of progressive experience in the specialty in lieu of each year of education.
Experience administering Power BI Service and tenants, managing Power BI Premium and Fabric capacity, administering gateways and workspaces, and working with semantic models, Dataflows Gen2, and deployment pipelines.
Experience governing enterprise-scale Power BI environments and designing enterprise BI architectures and scalable analytics solutions.
Experience designing, implementing, and administering Microsoft Fabric environments and establishing Fabric governance, architecture, capacity management, and platform roadmaps.
Ability to lead migrations from legacy BI platforms to Fabric and support adoption of cloud-native analytics architectures.
Candidates must be authorized to work for any employer in the United States without employer-based visa sponsorship; Infosys cannot provide immigration sponsorship for this role.
The position may require relocation and/or travel to the work or project location.

Nice To Haves

Knowledge of XMLA endpoints, DAX optimization, Power BI REST APIs, Microsoft Fabric, OneLake, Lakehouse, Data Warehouse, Data Factory, Data Engineering, Real-Time Analytics, and Event Streams.
Experience with Microsoft Purview, Microsoft Entra ID (Azure AD), RLS, OLS, DLP, sensitivity labels, Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure SQL, Azure Monitor, Log Analytics, Azure DevOps, Git, PowerShell, Python, REST APIs, Microsoft Graph APIs, SQL Server, Snowflake, Databricks, SAP, Oracle, SharePoint Online, and Dynamics 365.
Familiarity with enterprise BI architecture, analytics governance, capacity planning, performance engineering, virtual machine management, DevOps, automation, root cause analysis, and analytics platform modernization.

Responsibilities

Develop project timelines and proactively identify and address resource discrepancies to support timely project completion.
Serve as a liaison between technical teams and clients through regular meetings and milestone reviews.
Support functional teams with advisory and consulting initiatives focused on domain-specific product evaluation, benchmarking studies, and system configurations.
Monitor project deliverables across all phases to meet quality benchmarks and stakeholder expectations.
Administer and govern enterprise-scale Power BI environments, including service and tenant administration, Premium capacity, gateways, workspaces, semantic models, datasets, Dataflows Gen2, reports, dashboards, XMLA endpoints, and deployment pipelines.
Configure and maintain tenant settings and governance policies; define enterprise BI architecture roadmaps and design scalable reporting solutions, semantic model architectures, reusable frameworks, and deployment strategies.
Conduct architecture reviews to support analytics modernization initiatives.
Design, implement, and administer enterprise Microsoft Fabric environments and workloads, including OneLake, Lakehouse, Data Warehouse, Data Factory, Data Engineering, Real-Time Analytics, Event Streams, and Data Science.
Establish Fabric governance frameworks, architecture standards, capacity management strategies, and enterprise data platform roadmaps, and support integration with Power BI, Azure services, and business applications.
Lead migrations from legacy BI platforms to Fabric and drive adoption of modern cloud-native analytics architectures.
Manage project risks, build collaborative stakeholder relationships, govern project scope, identify additional project opportunities, anticipate challenges, and balance project economics with strategic priorities.