Agentic Data Cloud Engineer — Pre-Sales AI Pipelines

Google; Cambridge (MA); On-site; USD 127,000 - 184,000; Full time

Job summary

Google is hiring an Agentic Data Cloud Customer Engineer to lead technical pre‑sales for Enterprise data and AI initiatives in the US. You will map complex data estates, design end‑to‑end pipelines, and demonstrate value to CDOs, CTOs, and architects.

You will articulate architecture, manage TCO analyses, and drive cost‑effective, scalable data systems. The role emphasizes Python, PySpark, and modern data lakehouse patterns to enable successful migrations and product adoption.

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.
• Ability to communicate in English fluently to manage stakeholder relationships.

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 + 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.

Skills

Data engineering experience

Demos & presentations

Migration/refactor workloads

Data platforms

English communication

Education

Bachelor's degree or equivalent

Tools

BigQuery

dbt

Apache Iceberg

Spark

Job description

Google is hiring an Agentic Data Cloud Customer Engineer to lead technical pre‑sales for Enterprise data and AI initiatives in the US. You will map complex data estates, design end‑to‑end pipelines, and demonstrate value to CDOs, CTOs, and architects.

You will articulate architecture, manage TCO analyses, and drive cost‑effective, scalable data systems. The role emphasizes Python, PySpark, and modern data lakehouse patterns to enable successful migrations and product adoption.