<p>Support and manage Power BI at the enterprise level, enabling analytics across 20+ business units. Act as a first responder for Power BI dashboard issues and framework-level escalations. Maintain and enhance 10-15 enterprise-wide Power BI frameworks for automation in instance deployment, version upgrades and analytic/viz framework design. Perform proof-of-concepts (POCs) and adapt to evolving BI tools. Collaborate with business units to ensure visualization standards and performance optimization. Manage and automate Power BI Gateway deployments across 200+ VMs. Support migration to Microsoft Fabric capacity and manage premium capacity environments. Ensure secure handling of highly confidential data with full encryption protocols. Troubleshoot Snowflake connectivity and optimize queries for performance. Build and maintain robust batch and streaming data pipelines using Python and PowerShell. Bachelor's or Master's degree in Computer Science, Engineering, or related field. 7+ years of experience in data engineering, with a focus on enterprise analytics. Deep expertise in Power BI, including framework support, capacity management, and enterprise enablement. Strong scripting skills in Python and PowerShell. Experience with Snowflake as a primary cloud analytics platform. Familiarity with Microsoft Fabric and capacity planning. Proficiency in managing secure data environments and encrypted data flows. Strong understanding of hybrid on-prem/cloud architectures. Excellent analytical, communication, and client-facing skills. Ability to multitask, prioritize, and adapt in a dynamic environment Bachelor's or Master's degree in Computer Science, Engineering, or related field.</p>