• Lead, mentor, and develop a high-performing data engineering team, fostering a culture of technical excellence, accountability, and continuous improvement in data pipeline development and delivery. • Design, implement, and maintain scalable, efficient ETL/ELT pipelines across cloud and legacy systems. • Develop robust data models leveraging best practices such as the medallion architecture (Bronze, Silver, Gold layers) to organize raw, refined, and curated data for trusted analytics. • Ensure data workflows and structures are optimized to support analytical, operational, and self-service use cases with high performance, reliability, and maintainability. • Deliver and support seamless data integration in and out of enterprise data platforms ensuring timely, accurate, and secure data availability for reporting, analytics and other data needs. • Drive adoption of best practices in data engineering design and coding standards to ensure scalable, maintainable, and reusable solutions aligned with architectural principles.