Provide strategic leadership and goal for a high-performing engineering organization, driving the roadmap for Spark and next-generation Lake House architectures.

Architect global-scale Data Lake and Lake House solutions, integrating open-source standards like Iceberg and Delta Lake with internal Big Query ecosystems.

Foster a culture of technical innovation and excellence, optimizing open-source stacks for peak performance, security, and enterprise-grade efficiency. Collaborate with cross-functional GCP infrastructure and product teams to deliver seamless, observability-rich platforms for global enterprise customers.

Direct the integration of AI, Machine Learning, and Data Science workloads into the core Dataproc and Lake House offerings. Manage stakeholder relationships and influence internal and external open-source communities to align with Google's strategic objectives.

Oversee organizational health, talent development, and resource allocation across multiple distributed teams to ensure operational excellence and high engagement.

Bachelor's degree or equivalent practical experience.

8 years of experience with software development.

5 years of experience in a technical leadership role.

5 years of experience in a people management or team leadership role.

Experience with Apache Spark, Data Processing, and Data Analytics.