Key Requirements:

• Lead and mentor a high-performing data engineering team, driving best practices and ensuring scalability in large-scale data projects, with 2+ years in a leadership role.

• Over 8+ years of hands-on experience in building robust data pipelines, optimizing data models, and ensuring governance, security, and performance.

• Extensive global exposure with expertise in Azure (preferred) for architecting and managing large-scale cloud-based data platforms, lakes, and analytics solutions.

• Collaborate with stakeholders, align data strategies with business goals, and continuously improve data processes and architectures in complex, high-impact projects.