Data Engineering Lead required to design and drive the data engineering strategy at the intersection of business objectives and AI innovation. This is a hands-on leadership role focused on building scalable data platforms and mentoring a high-performing team. Key Responsibilities: Define and execute data engineering roadmaps aligned with AI strategy and business goals Mentor and guide data engineers on best practices in DataOps, data governance, and scalable architecture Build and optimize data pipelines for AI/ML solutions using Azure and Databricks Ensure robust, secure, and high-performance data infrastructure Collaborate with cross-functional teams to deliver data solutions that drive business value Key Requirements: Deep expertise in Python, PySpark, Scala, and Databricks Proven experience with cloud platforms, especially Azure Strong understanding of data governance, DataOps, and ML pipeline integration A leadership mindset with a track record of mentoring and technical direction Skills: Lead Data Engineer