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Agentic Data Cloud Customer Engineer, Startups, Google Cloud

Google
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Remote$152k - $221kPosted 3w ago

About the role

Agentic Data Cloud Customer Engineer responsible for pre-sales technical leadership in Google Cloud, focusing on data + AI pipelines, open lakehouse architectures, and value-driven engagements for enterprise customers in startups and related segments.

Responsibilities

  • Define technical strategy for large accounts, engaging C-level executives via live demonstrations to solve business problems using the agentic data cloud.
  • Design, code, and deploy production-grade data + AI pipelines (e.g., fraud detection, recommendation engines) and map legacy data estates to open-format architectures (Apache Iceberg).
  • Orchestrate intent-driven data engineering to autonomously deploy PySpark/dbt pipelines using the data agent kit, antigravity, and model context protocol.
  • Lead high-impact showcases and technical value validations using BigQuery, Borderless Lakehouse, Knowledge Catalog, Spark, and Vertex AI to prove business outcomes.
  • Conduct detailed TCO analyses and optimize architectures (such as balancing DRAM/SSD, compute shapes, and token spend) to prevent runaway costs on the lightning engine.

Qualifications

  • 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 and leveraging agentic platforms.

Skills

Required:Data engineeringPythonPySparkSQL / data languagesVenturing with BigQuery / Vertex AI
Last updated Oct 23, 2026. Interested? Apply on the company site.

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