Agentic Data Cloud Customer Engineer II, Google Cloud (English)

Google; New York (NY); On-site; USD 127,000 - 184,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google is seeking an Agentic Data Cloud Customer Engineer II to partner with Sales and act as the trusted technical advisor for customers in the Google Cloud ecosystem. This role maps complex legacy data estates and champions migrations to GCP, building end-to-end Data + AI pipelines and showcasing modern lakehouse architectures through live demonstrations.

Ideal candidates have deep Python and PySpark expertise, experience with data platforms and governance, and can translate technical

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.

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 and map legacy data estates to open-format architectures (Apache Iceberg).
• Orchestrate data engineering to deploy PySpark/dbt pipelines using the Data Agent Kit and Model Context Protocol.
• Lead showcases and validate value using BigQuery, Knowledge Catalog, Spark, and Vertex AI to prove business outcomes.
• Conduct TCO analyses and optimize architectures to prevent runaway costs.

Education

Bachelor's degree or equivalent practical experience

Tools

BigQuery

Vertex AI

Apache Iceberg

dbt

Job description

Agentic Data Cloud Customer Engineer II, Google Cloud (English)

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Cambridge, MA, USA; Chicago, IL, USA.

Mid

Minimum 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.

Preferred qualifications:

• Experience designing and deploying enterprise Retrieval-Augmented Generation (RAG) pipelines, LLM application integrations, or context orchestration frameworks.
• Practical experience implementing enterprise data/AI governance, metadata management, access control, or lineage tracking across modern catalogs.
• 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 ...

About the job

As an Agentic Data Cloud Customer Engineer, you are the premier technical subject matter expert in your territory. You will partner with Sales Specialists to execute the technical pre-sales strategy for customers, serving as the trusted technical advisor to CDOs, CTOs, Lead Architects, and developers. You will lead proactive discoveries to map complex, legacy customer data estates and qualify them for migration to GCP.

You are a builder and architect that designs, codes, and deploys production-grade, end-to-end Data + AI pipelines that solve real-world enterprise problems. You will whiteboard modern open lakehouse architectures and run code demonstrations showing how unified data foundations power deterministic, hallucination-free conversational AI.

Leveraging a background in value-selling, you will conduct detailed Total Cost of Ownership analyses and optimize architectures to prevent runaway spend. You will help customers adopt modern data engineering practices that securely unify data, analytics, and AI.

If you possess deep expertise in Python, PySpark, and distributed data systems, and can translate technical excellence into business-transforming migrations, you will grow in this technical role. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

US: $127000 - $184000 (USD) + 42.86% bonus target + equity + benefits

Learn more about benefits at Google.

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 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.

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.