The ideal candidate will have experience with big data and distributed data processing technologies such as Hadoop and Spark, including PySpark and notebook-driven development, as well as strong knowledge of cloud-based data platforms (e.g., AWS, Azure, Google BigQuery, OCI). This role designs, implements, and optimizes large-scale data pipelines, cloud-native processing solutions, and integration services, while providing technical guidance and strategic direction across the Data & Analytics organization.