This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer (GCP • Python • Iceberg • Delta Lake • Kafka • Snowflake • Databricks) based in United States. This is a senior-level data engineering opportunity focused on building modern, scalable lakehouse architectures in a cloud-native GCP environment. You will design and implement reusable data-sharing and ingestion solutions that connect data products across BigQuery, Snowflake, and Databricks. The role combines hands-on development in Python and Spark with advanced work across Apache Iceberg, Delta Lake, Iceberg UniForm, Delta Sharing, and Kafka-based CDC. You will help establish reliable, governed data access patterns while enabling zero-copy data consumption across multiple platforms. Your work will span ingestion, metadata, lineage, authorization, semantic models, and production troubleshooting across the data stack. You will collaborate closely with cross-functional teams to deliver end-to-end capabilities while maintaining strong standards for scalability, quality, and maintainability. This role is well suited to an experienced data engineer who enjoys solving complex distributed data challenges and shaping modern enterprise data infrastructure.