Data Cloud Solutions Architect — AI-Driven Data Platforms

Google; United States; On-site; USD 233,000 - 324,000; Full time

Job summary

Google is seeking a Solutions Architect for Data Cloud who will lead technical relationships with large advertising clients and partners across the US. You will oversee complex data architectures, drive data-driven solutions, and ensure scalable, secure deployments that align with product strategy.

You will collaborate with Engineering, Sales, and Product Management to deliver innovative data cloud solutions, build automated tools, and accelerate customer deployments.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, or related field, or equivalent practical experience.
• 10 years of experience with ETL tools, data pipeline orchestration (e.g., Spark), and data warehousing architectures.
• 2 years of experience with Google Cloud's Vertex Platform.
• Experience with SQL, NoSQL, Python, Java, or data modeling techniques.

Responsibilities

• Design, prototype, and publish production-ready Data Cloud assets and reference architectures to scale field enablement.
• Establish end-to-end technical ownership over complex data domains and guide architectural decisions across databases, analytics, BI and GenAI.
• Architect and scale high-impact assets (demos, reference architectures, guides) showcasing Google Cloud's data capabilities.
• Collaborate with Product and Engineering to inject real-world insights into the product roadmap.

Skills

ETL tools

Data warehousing

Spark

SQL

Python

Java

NoSQL

Data modeling

Education

Bachelor's degree

Master's degree (preferred)

Tools

Vertex Platform (Google Cloud)

Job description

Google is seeking a Solutions Architect for Data Cloud who will lead technical relationships with large advertising clients and partners across the US. You will oversee complex data architectures, drive data-driven solutions, and ensure scalable, secure deployments that align with product strategy.

You will collaborate with Engineering, Sales, and Product Management to deliver innovative data cloud solutions, build automated tools, and accelerate customer deployments.