Google Cloud is seeking a Staff Engineer for their BigQuery Data Integration team to lead the development of solutions enabling massive-scale data migrations. This role combines deep technical expertise in distributed systems with data warehouse design to solve complex challenges in data processing and migration. You'll be working on systems that handle petabytes to exabytes of data daily, directly impacting customers' journey to Business Intelligence and AI capabilities.
As a Staff Engineer, you'll be responsible for designing and implementing cloud-native solutions for data warehouse migration, while providing technical leadership to the team. The role requires expertise in distributed processing systems, using languages like Java, Python, or Scala, and familiarity with modern big data technologies including Apache Spark, Hive, and Iceberg.
The position offers the opportunity to work with Google Cloud Platform's cutting-edge technology, collaborating with various teams to build integrated solutions that solve critical business problems for customers across 200+ countries. You'll be instrumental in shaping the technical strategy for data migration and developing new connectors, while mentoring team members and ensuring high-quality deliverables.
This is an ideal role for someone who combines strong technical skills with leadership abilities, has experience in data warehouse design and analytics, and is passionate about solving complex data processing challenges at scale. The position offers the chance to make a significant impact on Google Cloud's data integration capabilities while working with some of the most advanced cloud technologies available.