Designs, builds, governs, and supports scalable analytics and data engineering solutions on Microsoft Fabric and Azure. Responsibilities include developing ingestion pipelines, lakehouse and warehouse models, orchestration, real-time solutions, performance optimization, testing, monitoring, incident resolution, security, capacity management, and platform governance. The role partners with business and technical stakeholders, facilitates design workshops, documents architecture, mentors teams, and contributes to estimation and enterprise BI strategy.

Designs and leads enterprise data lake and Lakehouse architecture on Microsoft Fabric and OneLake. Defines integration patterns, data models, ingestion frameworks, governance standards, lifecycle strategies, and performance and cost optimizations. Partners with engineers, analysts, data scientists, security teams, and business stakeholders to enable trusted self-service analytics, real-time insights, data science, and AI capabilities. Provides technical leadership, architecture reviews, reusable design patterns, and support for scalable data platforms and FinOps practices.