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Senior Engineer, Reclamation and ZLD
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- $142,800 to $304,200 USD / year
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Engineer V
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Senior Site Installation Engineer
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Software Development Engineer, Creator Marketplace
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Staff Software Engineer, ML Compiler Performance Engineer Co-Design
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Staff Quality Compliance Engineer
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Lead the Standards & Regulations Management Compliance program as the Division Process Owner, aligning processes and compliance activities across divisions.
Added 14 mins ago
Agentic Data Cloud Customer Engineer II, Google Cloud
Google
Sunnyvale, CA
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…
Added 14 mins ago
Senior RTL Design Engineer, TPU
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Google

Agentic Data Cloud Customer Engineer II, Google Cloud

Sunnyvale, CA, United States

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Job details

Experience: 6 years of experience as a data or systems engineer, solutions architect, or pre-sales consultant.
Posting language: English
Posted: Sep 25, 2026

Original job description

Agentic Data Cloud Customer Engineer II, Google Cloud

Share Agentic Data Cloud Customer Engineer II, Google Cloud

corporate_fare Google place New York, NY, USA; Austin, TX, USA; +3 more; +2 more

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Austin, TX, USA; Seattle, WA, USA; Sunnyvale, CA, USA .

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.

Preferred qualifications:

Experience designing and deploying enterprise Retrieval-Augmented Generation (RAG) pipelines, LLM application integrations, or context orchestration frameworks.
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 with business outcomes.

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 C-levels, 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 and 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. You will use your expertise in Python, PySpark, and distributed data systems, and can translate technical excellence into business-transforming migrations, you will grow in this highly 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 cutting-edge 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

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 and 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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Skills

Google Cloud
Sales
Debugging
Programming languages
ML
Data engineering
Python
PySpark
Fraud detection
dbt
BigQuery
Apache Spark
Recruitment

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