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Job Description
- 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 BigQuery 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 (ML), 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.