Lead Data Infrastructure Engineer

Google LLC; Durham (NC); On-site; USD 207,000 - 300,000; Full time

Job summary

Google LLC in the United States is seeking a Senior Software Engineer to lead the Data Initiative within Google Global Infrastructure (GGI). You will work with senior leadership, drive data architecture decisions, and guide the full software lifecycle across large-scale systems and AI-enabled initiatives.

The role emphasizes cross-team collaboration, mentoring, and delivering data-centric solutions at scale, with opportunities to influence multiple sub-organizations.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++.
• 5 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 3 years of experience with software design and architecture.

Responsibilities

• Collaborate with senior leadership in GGI, cross-functional teams to collect requirements, and define product and key user journeys.
• Lead the technical design and execution of complex projects, ensuring alignment with the long-term data architecture strategy.
• Contribute to all phases of the software development lifecycle, from requirements gathering to production support.
• Identify and advocate for improvements to data quality, system architecture, and engineering practices within GGI.
• Mentor junior engineers and contribute to code reviews and best practices.

Skills

C++ programming

Distributed systems

Software testing

Software deployment

Software design & architecture

Leadership experience

Education

Bachelor's degree

Master’s degree (preferred)

Job description

Google LLC in the United States is seeking a Senior Software Engineer to lead the Data Initiative within Google Global Infrastructure (GGI). You will work with senior leadership, drive data architecture decisions, and guide the full software lifecycle across large-scale systems and AI-enabled initiatives.

The role emphasizes cross-team collaboration, mentoring, and delivering data-centric solutions at scale, with opportunities to influence multiple sub-organizations.