Principal Staff Software Engineer - Data Infrastructure & Data Quality
Description For Principal Staff Software Engineer - Data Infrastructure & Data Quality
LinkedIn, the world's leading professional networking platform, is seeking a visionary Principal Staff Software Engineer to join their Data Management organization. This role represents a unique opportunity to shape the future of data discovery, quality, and infrastructure at massive scale.
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, you'll be at the forefront of designing and implementing systems that make data more accessible, reliable, and valuable across LinkedIn's ecosystem.
The role offers an attractive salary range of $207,000 to $340,000 and features a hybrid work arrangement, balancing remote work with in-office collaboration. LinkedIn's approach to flexible work is centered on trust and optimized for culture, connection, and clarity.
Key responsibilities include architecting scalable systems for metadata management, implementing data quality mechanisms, and leading technical initiatives that impact the entire organization. You'll work on challenging problems at the intersection of data infrastructure, distributed systems, and metadata intelligence.
The ideal candidate brings 10+ years of software design experience, with at least 5 years in technical leadership. You should have deep expertise in data platforms, quality, and observability, plus a proven track record of leading high-impact initiatives in large organizations.
LinkedIn offers a comprehensive benefits package and the opportunity to impact millions of professionals worldwide. The company's culture emphasizes growth, innovation, and work-life balance. You'll join a team that values technical excellence, mentorship, and collaborative problem-solving.
This role is perfect for a senior technologist who wants to make a lasting impact on how data is discovered, managed, and utilized at enterprise scale. You'll have the autonomy to drive technical vision while working with talented teams across LinkedIn's engineering organization.
Responsibilities For Principal Staff Software Engineer - Data Infrastructure & Data Quality
- Define and evolve the long-term technical vision for data discovery and data quality across the organization
- Design and lead implementation of scalable, low-latency systems for metadata, data quality signals, and observability
- Evaluate new architectures, tools, and frameworks—and lead their adoption across the platform
- Set engineering standards, guide system design reviews, and mentor other engineers
- Architect systems that unify structured and unstructured metadata
- Develop mechanisms to automatically assess data freshness, completeness, and reliability
- Drive improvements in system observability, monitoring, and alerting
- Lead efforts to improve system reliability, availability, and maintainability
- Participate in incident response and root cause analysis
Requirements For Principal Staff Software Engineer - Data Infrastructure & Data Quality
- BS/BA in Computer Science or related technical field or equivalent technical experience
- 10+ years of experience in software design, building solutions
- 5+ years in a technical leadership position
- Experience with data platforms, data discovery, data quality and data observability
- Experience leading and influencing within large, matrixed organization
- Experience leading high-impact, cross-organization initiatives
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