Principal Staff Software Engineer - Data Infrastructure & Data Quality

LinkedIn, a global leader in professional networking, is seeking a Principal Staff Software Engineer to spearhead their data infrastructure and quality initiatives. This role represents a unique opportunity to shape the future of data management at scale within one of the world's most influential professional platforms.

The position combines deep technical expertise with strategic leadership, focusing on building world-class solutions for data discovery, observability, and quality. As a Principal Staff Engineer in the Data Management organization, you'll be at the forefront of developing systems that make data more accessible, reliable, and valuable across LinkedIn's ecosystem.

The role demands a visionary technologist who can bridge the gap between complex technical challenges and business objectives. You'll be responsible for architecting scalable solutions for metadata management, implementing data quality frameworks, and establishing engineering standards that will influence the entire organization. The position offers the opportunity to work with cutting-edge data technologies while solving challenges at a scale that few companies can match.

Key aspects of the role include designing low-latency systems for metadata and data quality signals, developing automated assessment mechanisms for data reliability, and leading cross-functional initiatives that impact LinkedIn's entire data infrastructure. The hybrid work environment offers flexibility while maintaining strong team collaboration and culture.

This is an ideal opportunity for a senior technologist who wants to make a lasting impact on how data is managed and utilized at enterprise scale. The role offers competitive compensation, including a salary range of $207,000 to $340,000, plus equity and comprehensive benefits. Join LinkedIn to help shape the future of professional networking while working with some of the industry's best talent in data engineering and infrastructure.