We require extensive expertise in modern cloud-native data platforms, particularly within GCP (preferred, with experience in AWS/Azure also valued), utilizing technologies such as Spark, Flink, Kafka, Airflow, BigQuery, Presto/Trino, Iceberg, and dbt for advanced analytics engineering. This critical leadership position is responsible for owning the long-term data platform and engineering strategy, establishing technical roadmaps, and guiding architectural decisions across data ingestion, storage, processing, interoperability, and analytics.