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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentic Data Cloud Customer Engineer II, Google Cloud (English) - **Company:** Google LLC - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $127,000.0 - $184,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Apache HTTP Server, Systems Engineering, BigQuery, Bioinformatics, Cloud Computing, Information Engineering, Data Integration, Software Debugging, Dynamic Random-Access Memory, Fraud Prevention and Detection, Meta-Data Management, Open Source Technology, Recommender Systems, Azure Machine Learning, Enterprise Data Management, Data Processing, Google Cloud, Large Language Models, Apache Spark, Generative AI, Data Lakes, Pyspark, Core Data, Kubernetes, Data Lineage, Data Programming, Data Management, Machine Learning Operations, Code Restructuring - **Published:** September 21, 2026 - **Apply:** https://www.manhattanjobs.com/job.asp?id=3402978286&tx=ZT2423TTI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Share Agentic Data Cloud Customer Engineer II, Google Cloud (English), * 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 with business outcomes. ## Description * 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. 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. 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