Citi is hiring a Senior Data Engineer to join its dynamic technology team, focusing on designing and building scalable data infrastructure on cloud platforms. This role involves creating ETL/ELT pipelines using PySpark, Spark SQL, and Delta Lake on Databricks, managing cloud-native services for storage and analytics, and optimizing performance through tuning and autoscaling. The candidate will also work on advanced AI projects like Retrieval-Augmented Generation (RAG) and Agentic AI systems, requiring proficiency in Python, Databricks, Snowflake, Starburst/Trino, and Apache Iceberg. Additionally, the role demands expertise in Agile methodologies, leadership skills to guide project teams, and strong client interaction abilities to manage stakeholder expectations effectively. The ideal candidate has 6-10 years of experience in large-scale enterprise data engineering, particularly within financial services, with a focus on delivering robust, secure, and high-quality data solutions at scale.