As an Agentic Data Cloud Customer Engineer at Google Cloud, you will serve as a technical subject matter expert, partnering with sales specialists to execute pre-sales strategies for customers. Your role involves engaging with C-level executives and leading technical demonstrations to address complex data challenges. You will design and deploy production-grade data and AI pipelines while optimizing architectures for cost efficiency. This position requires a deep understanding of data engineering practices and the ability to translate technical solutions into business outcomes.

• Bachelor's degree or equivalent practical experience.
• 10 years of experience as a data or systems engineer, solutions architect, or pre-sales consultant.
• Experience delivering demos, workshops, or architect overviews to business leaders.
• Experience migrating, refactoring, or debugging proprietary or open source workloads.
• Experience building data platforms, warehouses, or data lakes, and experience with data programming languages.

• Define technical strategy for large accounts, engaging C-level executives via live demonstrations.
• Design, code, and deploy production-grade data and AI pipelines.
• Map legacy data estates to open-format architectures.
• Orchestrate intent-driven data engineering to autonomously deploy PySpark/dbt pipelines.
• Lead high-impact showcases and technical value validations using various Google Cloud tools.
• Conduct detailed Total Cost of Ownership analyses and optimize architectures to prevent runaway costs.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.