Principal Staff Software Engineer - Data Infrastructure & Data Quality

LinkedIn is seeking a visionary Principal Staff Software Engineer to lead their Data Management organization's efforts in building world-class solutions for data discovery, observability, and quality. This role represents a unique opportunity to shape the future of data management at one of the world's leading professional networking platforms.

The position combines deep technical leadership with strategic vision, requiring expertise in data infrastructure, distributed systems, and metadata intelligence. The successful candidate will be responsible for architecting and implementing scalable systems that make data assets more discoverable, reliable, and valuable across the organization.

Key responsibilities include defining the technical vision for data discovery and quality, designing scalable metadata systems, and leading the adoption of new architectures and frameworks. The role requires both technical excellence and leadership skills, as you'll be setting engineering standards, mentoring other engineers, and driving cross-organizational initiatives.

The ideal candidate brings 10+ years of software design experience, with at least 5 years in technical leadership. Deep expertise in data platforms, quality, and discovery systems is essential. The role offers a competitive compensation package ranging from $207,000 to $340,000, along with comprehensive benefits including equity and performance bonuses.

Working in a hybrid arrangement, you'll collaborate with cross-functional teams while having the flexibility to balance office and remote work. This is an opportunity to make a lasting impact on LinkedIn's data infrastructure, working with cutting-edge technologies and solving complex challenges at scale.

LinkedIn's commitment to professional growth, innovative culture, and global reach makes this an exciting opportunity for a senior technologist looking to shape the future of data management. The role combines technical depth with strategic leadership, offering the chance to influence how millions of professionals worldwide discover and interact with data.