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 big data technologies like Snowflake and Apache Iceberg, and optimizing performance through tuning and autoscaling. The candidate will also lead the design of Starburst-based data solutions and collaborate with AI specialists to support advanced projects involving RAG and Agentic AI systems. Proficiency in Python, PySpark, Databricks, Snowflake, and cloud-native services is essential, along with experience in Agile methodologies and strong leadership skills for guiding projects and mentoring junior engineers. The position requires hands-on experience in large-scale data engineering within a financial services environment, emphasizing robust data governance and security practices.