Staff AI/ML Data Platform Architect

Google; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking software engineers to design and scale large-scale architectures and distributed systems, with emphasis on AI platforms and security data workloads. The role involves leading projects, collaborating across teams, and delivering impactful data infrastructure solutions at massive scale.

Applicants should have a strong background in software development, and experience with AI technologies, BigQuery, and SIEM-related data products.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience designing, leading, and scaling large-scale software architectures, distributed systems, or high-throughput data processing platforms.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• Experience working with AI platforms or generative AI technologies (including generative AI agents).

Responsibilities

• Develop an understanding of schema-on-read pipelines and in-line streaming enrichment.
• Lead, design, and launch cloud lakehouse solutions for global customers.
• Improve data storage tiers and enrichment capabilities with cross-functional teams.
• Leverage SIEM, security data lakes, or large-scale distributed data products to deliver high-impact projects.
• Manage project priorities and communicate schedule adjustments.

Skills

years of experience

AI platforms

leading architectures

Education

Bachelor's degree

Master’s/PhD (preferred)

Tools

BigQuery

SIEM

Job description

Google is seeking software engineers to design and scale large-scale architectures and distributed systems, with emphasis on AI platforms and security data workloads. The role involves leading projects, collaborating across teams, and delivering impactful data infrastructure solutions at massive scale.

Applicants should have a strong background in software development, and experience with AI technologies, BigQuery, and SIEM-related data products.