Agentic Data Cloud Customer Engineer III, Telco, Media, Entertainment and Gaming, Google Cloud
About The Position
As an Agentic Data Cloud Customer Engineer, you are the premier technical subject matter expert in your territory. You partner with Sales Specialists to execute the technical pre-sales strategy for customers and serve as a trusted technical advisor to CDOs, CTOs, Lead Architects, and developers. You lead proactive discovery to map complex, legacy customer data estates and qualify them for migration to GCP. You design, code, and deploy production-grade, end-to-end data and artificial intelligence pipelines to solve enterprise problems. You whiteboard modern open lakehouse architectures and run code demonstrations showing how unified data foundations can power deterministic, hallucination-free conversational AI. Using value-selling principles, you conduct detailed Total Cost of Ownership analyses and optimize architectures to prevent runaway spend. You help customers adopt modern data engineering practices that securely unify data, analytics, and AI. The role calls for deep expertise in Python, PySpark, and distributed data systems, along with the ability to translate technical work into business-transforming migrations.
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 architecture overviews to business leaders.
- Experience migrating, refactoring, or debugging proprietary or open-source workloads.
- Experience building data platforms, warehouses, or data lakes.
- Experience with data programming languages and leveraging agentic platforms.
Nice To Haves
- 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.
Responsibilities
- Define technical strategy for large accounts, engaging C-level executives through live demonstrations to solve business problems using the Agentic Data Cloud.
- Design, code, and deploy production-grade data and AI pipelines, such as fraud detection and recommendation engines, and map legacy data estates to open-format architectures such as 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 demonstrate business outcomes.
- Conduct detailed Total Cost of Ownership analyses and optimize architectures, including DRAM/SSD balance, compute shapes, and token spend, to prevent runaway costs on the Lightning Engine.
- Partner with Sales Specialists on technical pre-sales strategy and advise customer executives, architects, and developers.
- Lead proactive discovery to map customer data estates and assess them for migration to GCP.
- Whiteboard modern open lakehouse architectures and demonstrate how unified data foundations support conversational AI.
- Help customers adopt modern data engineering practices that securely unify data, analytics, and AI.
Benefits
- 42.86% bonus target
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
