LinkedIn, a global leader in professional networking with over 5,000 employees, is seeking a Principal Staff Software Engineer to lead their Data Infrastructure & Data Quality initiatives. This hybrid role, based in Mountain View, CA, offers a competitive salary range of $207,000 to $340,000.
The position represents a unique opportunity to shape the future of data management at enterprise scale. As a Principal Staff Engineer in the Data Management organization, you'll be responsible for architecting and implementing world-class solutions for data discovery, observability, and quality. This role combines technical leadership with hands-on engineering, requiring both strategic vision and deep technical expertise.
The ideal candidate will bring 10+ years of software design experience, with at least 5 years in technical leadership. You'll need a strong background in data platforms, data quality, and data observability, along with proven experience leading initiatives in large, matrixed organizations. A BS/BA in Computer Science or related field is required.
Key responsibilities include defining the technical vision for data discovery and quality, designing scalable systems for metadata management, and driving operational excellence through improved monitoring and reliability. You'll also play a crucial role in mentoring other engineers and setting engineering standards across the organization.
LinkedIn offers a comprehensive benefits package including medical, dental, and vision insurance, 401k, equity, and annual performance bonuses. The company's hybrid work model emphasizes trust and culture, allowing for a balance between remote and office work.
This role is ideal for a senior technologist who thrives at the intersection of data infrastructure, distributed systems, and metadata intelligence. You'll have the opportunity to make a lasting impact on LinkedIn's data ecosystem while working with cutting-edge technologies and talented teams.
Join LinkedIn's mission to help professionals achieve more in their careers while building the next generation of data infrastructure solutions. Your work will directly influence how millions of users discover and leverage professional opportunities through LinkedIn's platform.