We are creating a unified data foundation that accelerates innovation and drives measurable business impact. As a visionary Lead Data Platform Engineer to architect, you will evolve, and lead our next-generation AI and data ecosystem. This is a hands-on leadership role that blends technical depth, strategic thinking, and shaping the technical vision of a modern data, data analytics, AI, and ML platforms. You’ll drive the design, development, and optimization of our enterprise data platform, integrating Power Platforms, Microsoft Fabric components with modern cloud-native and AI-driven technologies.

Duties:

• Architect & Build:Design and deliver scalable data AI platform solutions using Microsoft Fabric, Data Lake, SHIR, Power BI, Fabric-native services and Power Platforms
• Lead Initiatives:Drive end-to-end implementation of data projects, from ingestion and transformation to governance, observability, and consumption. Ensure high standards of data reliability, security, and performance
• Modernize Infrastructure:Migrate legacy systems to cloud-native and AI-enabled architectures, ensuring performance, reliability, and cost-efficiency
• Enable Data & AI Products:Collaborate with analytics, visualization, engineering, and business teams to deliver reusable data assets, semantic models, and self-service capabilities
• Promote Data Mesh Principles:Work with domain teams to decentralize data ownership and promote self-service capabilities that include data and AI services
• Champion Best Practices:Establish and enforce standards for data quality, lineage, security, and monitoring
• Mentor & Guide:Provide technical leadership, coaching, and career development for data engineers and platform developers
• Cross-Functional Partnership:Work closely with product managers, business leaders and vendors to prioritize and deliver high-value outcomes