Agentic Data Cloud Customer Engineer II, Google Cloud
New York, NY, USA +3 · Full-time · Posted Sep 24, 2026
- Location
- New York, NY, USA
Austin, TX, USA
Seattle, WA, USA
Sunnyvale, CA, USA - Experience
- 6 years; roles may include data or systems engineer, solutions architect, or pre-sales consultant.
- Education
- Bachelor's degree or equivalent practical experience.
About the job
Leads technical pre-sales for Google Cloud accounts and designs, demonstrates, and deploys data and AI architectures and pipelines for customer migration and business needs.
What you'll do
- Set technical strategy for large accounts and advise business and technical leaders through demonstrations and value validations.
- Design, code, and deploy production-grade Data and AI pipelines, and map legacy data estates to open-format architectures.
- Orchestrate data engineering and conduct TCO analyses to validate outcomes and control costs.
What they ask for
- 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 architecture overviews to business leaders.
- Experience migrating, refactoring, or debugging workloads, and building data platforms, warehouses, or data lakes using data programming languages and agentic platforms.
Nice to have
- Experience with enterprise RAG pipelines, LLM integrations, or context orchestration frameworks.
- Experience in data/AI governance, metadata management, access control, lineage tracking, developer advocacy, data science workflows, or value-selling.
Pay
$127000 - $184000 (USD) base salary
Tools
Python, PySpark, dbt, Data Agent Kit, Antigravity, Model Context Protocol, BigQuery, Vertex AI
AI focus
Builds and demonstrates Data and AI pipelines, including conversational AI, fraud detection, recommendation engines, RAG, and agentic data engineering that autonomously deploys pipelines.
Model-written summary · the original posting is authoritative