Description
Mastercard is seeking a Lead Data Engineer to lead the design, delivery, modernization, and operational management of enterprise data platforms, databases, data warehouses, and data engineering solutions. The role provides technical leadership across data engineering, database administration, cloud data platforms, and data warehouse operations; oversees ETL/ELT and CDC pipelines, database performance and reliability, cloud infrastructure, data quality, incident management, project delivery, cost optimization, and team mentoring. The position requires at least 8 years of experience in data engineering, database engineering, data warehousing, or related disciplines, along with expertise in Python, SQL, PySpark, AWS, Snowflake, Databricks, Apache Iceberg, and related technologies.
