Practice Architect, Agentic Data Cloud

Google•Kirkland, WA

8h•$224,000 - $311,000

About The Position

As a Global GTM Practice Architect for Agentic Data Cloud within Google Cloud, you will bring technical depth, commercial go-to-market mastery, and a record of scaling business motions to drive and scale the global GTM strategy. You will own strategy and business goals and support execution in partnership with Sales Specialists, Customer Engineering, and Forward Deployed Engineer leaders. Working across regional and global teams and stakeholder organizations, you will help design and implement the overall strategy and deliver business results. The role calls for technical credibility, executive presence, commercial judgment, and a strong bias for execution. You will help determine the right operating model for Google Cloud’s business objectives and the market landscape. You will engage directly with customers by whiteboarding and demonstrating Google Cloud data and AI architecture, then turn customer feedback into product and sales-play adaptations. Google Cloud provides enterprise-grade solutions and tools to help organizations digitally transform, build sustainably, and address critical business problems.

Requirements

Bachelor’s degree or equivalent practical experience.
15 years of experience in enterprise cloud, data, or AI architecture and go-to-market leadership, including experience scaling businesses of $1 billion or more.
Experience designing and executing global consumption go-to-market motions, commercial commits, quota models, or specialist plays.
Experience with architecture across modern data platforms and C-suite-engaged agreements.

Nice To Haves

Master’s degree in Computer Science, Engineering, or Business (MBA), with cloud data architecture experience.
Experience implementing multi-year go-to-market operating models for consumption businesses, including organizational design, capacity planning, and incentive structures.
Experience building enterprise data and AI solutions using BigQuery, Iceberg lakehouses, Spanner, AlloyDB, Knowledge Catalog, and agentic AI.
Experience applying quantitative analysis, propensity modeling, and pipeline telemetry to support executive resource allocation.
Experience converting executive narratives, value frameworks, and category positioning into business wins with enterprise buyers.
Experience in cloud-native architecture, such as database administration and solutions, machine learning model development and deployment, and modernizing legacy applications.

Responsibilities

Define and influence annual and quarterly go-to-market strategy and planning for Agentic Data Cloud, including Data Analytics, Databases, and Knowledge Catalog; shape organization design, talent and capacity models, account segmentation, commercial incentives, and field priorities.
Define, design, build, and execute a unified, full-funnel sales motion with Product, Sales, Customer Engineering, Forward Deployed Engineers, Marketing, and partners, from pipeline generation through consumption.
Drive executive alignment and decision-making across a matrixed global organization, partnering with leaders in Sales, Technical Field, Product, Engineering, Finance, and Operations to translate strategy into field execution.
Architect industry- and platform-led sales plays, propensity targeting models, commercial offers, and business value frameworks to help field teams win engaged workloads and attach data to AI.
Engage directly with customers to whiteboard and demonstrate Google Cloud data and AI architecture, and translate customer feedback into product and sales-play adaptations.