Act as a trusted technical advisor to customers and solve complex Big Data and AI challenges. Communicate effectively for client meetings and onsite delivery activities. Travel up to 30% of the time. Lead the end-to-end delivery of enterprise-scale data platforms, enabling real-time ingestion and high-performance consumption for AI/ML and Agentic use cases. Own the operational lifecycle of data products—including governance, security, cost-efficiency, and SLA management—in collaboration with stakeholders to drive long-term technical strategy.
Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders. Analyze on-premises and cloud data platform environments and consult on the optimal design for performance and deployment on Google Cloud Platform.
Job description provided by Google.
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