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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentic Data Cloud Customer Engineer II, Google Cloud - **Company:** Google LLC - **Location:** Austin, TX, United States - **Experience:** Expert - **Salary:** $127,000.0 - $184,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Apache HTTP Server, Systems Engineering, BigQuery, 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, Code Restructuring - **Published:** September 26, 2026 - **Apply:** https://dejobs.org/x/x/247D0EC474A74D0FA9F21D11E3FB01FE/job/ ## About the Role Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * 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. ## 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 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)