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# Senior Staff Engineer, Big Data Infrastructure Staff

- **Company:** LOOP LOOPS, INC.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Big Data, Cloud Storage, Software Debugging, Distributed Systems, Apache Hive, SQL Databases, Apache Yarn, Apache Spark, Data Lakes, Stripe, Kubernetes
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_61b63aa46d9b1355c5b5ff335ffc871d

## About the Role

* Airflow / orchestration Drive the architecture and delivery of critical modernization bets, including YARN to Kubernetes migrations, native vectorization (Gluten/Velox), and Airflow and Data Catalog modernization must have
 * Spark Experience with big data infrastructure at scale, such as Spark, Iceberg, S3, Airflow, YARN, and Celeborn must have
 * AWS Serve as the technical leader for the Big Data Infrastructure organization, overseeing distributed systems that manage 20% of Stripe's total AWS spend must have · not practised here
 * Drive the architecture and delivery of critical modernization bets, including YARN to Kubernetes migrations, native vectorization (Gluten/Velox), and Airflow and Data Catalog modernization must have · not practised here
 * Experience developing, maintaining, and debugging distributed systems while optimizing their reliability and security must have
 * Experience driving a culture of operational excellence, with a deep understanding of metrics, alerts, and dashboards
 * Data Lake (Iceberg, Hive, S3, Azure Blob Storage) not practised here
 * Warehousing Data Lake (Iceberg, Hive, S3, Azure Blob Storage)
 * Governance & security Drive the architecture and delivery of critical modernization bets, including YARN to Kubernetes migrations, native vectorization (Gluten/Velox), and Airflow and Data Catalog modernization not practised here
 * SQL Data Lake (Iceberg, Hive, S3, Azure Blob Storage)
 * Experience driving a culture of operational excellence, with a deep understanding of metrics, alerts, and dashboards not practised here