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Data Analytics Customer Engineer, Google Cloud (English)

Google
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Hybrid (Bengaluru, Mumbai)Full-timePosted 1w ago

About the role

Agentic Data Cloud Customer Engineer role focusing on pre-sales technical leadership, data/AI pipeline design, and migration guidance for enterprise customers within Google Cloud.

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 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 Total Cost of Ownership (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.
  • 6 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.
  • Ability to communicate in English fluently to manage stakeholder relationships.

Skills

Required:Technical strategy and stakeholder engagementData + AI pipeline design and deploymentPySpark
Nice to have:BigQuery / Vertex AI
Last updated Oct 23, 2026. Interested? Apply on the company site.

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