Tech Lead, Multimodal Storage & AI Data Pipelines

Google LLC; Kirkland (WA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Paid time off

Sick time

Parental leave

Job summary

Google is seeking a Tech Lead for BigQuery Multimodal Strategy and Architecture in Kirkland, WA. You will own the storage formats strategy, define roadmaps for Capacitor and emerging open standards, and design efficient storage layers for AI/ML pipelines.

Collaboration with cross-team groups is expected to enable scalable data infrastructure. The role emphasizes leading architectural decisions, partnering with core data teams, and delivering high-impact storage innovations aligned with AI

Qualifications

• Bachelor's degree in Computer Science or related field.
• 5 years of software development experience with C++ or Go.
• 3 years designing and optimizing distributed systems or database internals.

Responsibilities

• Own the end-to-end technical strategy for BigQuery storage formats.
• Define roadmap for Capacitor vs open standards (Vortex, Lance).
• Design storage layer innovations for zero-copy updates and fast random access.
• Collaborate with Dremel, BigLake, and GCS to integrate formats with SQL execution.
• Evaluate open-source formats and Arrow-native execution for BigQuery pipelines.

Skills

Software development

Distributed systems design

Education

Bachelor's degree in Computer Science or related field

Tools

C++

Go

Vortex

Lance

Job description

Google is seeking a Tech Lead for BigQuery Multimodal Strategy and Architecture in Kirkland, WA. You will own the storage formats strategy, define roadmaps for Capacitor and emerging open standards, and design efficient storage layers for AI/ML pipelines.

Collaboration with cross-team groups is expected to enable scalable data infrastructure. The role emphasizes leading architectural decisions, partnering with core data teams, and delivering high-impact storage innovations aligned with AI