Google

Google

Agentic Data Cloud Customer Engineer III, Telco, Media, Entertainment and Gaming, Google Cloud

New York, NY, USA · Mid

Sponsorship not specified$152k-$221kDetected 4 hours ago
PythonBigQueryGCPMachine LearningSparkdbtData EngineeringData ScienceLLMsRAGSystems Engineering

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Files H-1B transfers

984 transfer filings in the last year, covering 2277 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • About the job As an Agentic Data Cloud Customer Engineer, you are the premier technical subject matter expert in your territory.

Responsibilities

  • Design, code, and deploy production-grade Data and AI pipelines (e.g., fraud detection, recommendation engines) and map legacy data estates to open-format architectures (Apache Iceberg).
  • 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.

Requirements

  • 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 with data programming languages and leveraging agentic platforms.

Nice to have

  • Experience designing and deploying enterprise Retrieval-Augmented Generation (RAG) pipelines, LLM application integrations, or context orchestration frameworks.
  • Experience with developer advocacy, building internal technical advocate programs, delivering technical enablement, or contributing to open-source data/AI communities.
  • Experience in core data science workflows, including proficiency with data manipulation libraries and integrating data pipelines with ML platforms.
  • Experience applying value-selling principles to align technical architectures with business outcomes.
  • Practical experience implementing enterprise data/AI governance, metadata management, access control, or lineage tracking across modern catalogs.
  • As an Agentic Data Cloud Customer Engineer, you are the premier technical subject matter expert in your territory.
  • You will whiteboard modern open lakehouse architectures and run code demonstrations showing how unified data foundations power deterministic, hallucination-free conversational AI.
  • Define technical strategy for large accounts, engaging C-level executives via live demonstrations to solve business problems using the Agentic Data Cloud.

Compensation

  • US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits

Company info

  • You will help customers adopt modern data engineering practices that securely unify data, analytics, and AI.

This listing is sourced directly from Google's careers page and normalized into a canonical job model.