Principal Staff Software Engineer - Data Infrastructure & Data Quality

LinkedIn is a professional networking platform that helps professionals achieve more in their careers, connecting millions of people and providing opportunities for career growth and insights.
$207,000 - $340,000
Data
Principal Software Engineer
Hybrid
5,000+ Employees
10+ years of experience
Enterprise SaaS

Description For Principal Staff Software Engineer - Data Infrastructure & Data Quality

LinkedIn is seeking a visionary Principal Staff Software Engineer to join their Data Management organization, focusing on 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 technical leadership with hands-on architecture and development, requiring expertise in data infrastructure, distributed systems, and metadata intelligence. The successful candidate will be responsible for defining the technical vision for data discovery and quality across LinkedIn's extensive platform, while leading the implementation of scalable systems that handle metadata, quality signals, and observability.

The role offers a hybrid work arrangement, balancing remote work with in-office collaboration, reflecting LinkedIn's commitment to flexibility and work-life balance. The compensation package is highly competitive, ranging from $207,000 to $340,000, along with comprehensive benefits and the opportunity to work with cutting-edge data technologies.

Key responsibilities include architecting systems that unify structured and unstructured metadata, developing mechanisms for automated data quality assessment, and driving improvements in system reliability and observability. The ideal candidate will have 10+ years of software design experience, with at least 5 years in technical leadership, demonstrating success in leading high-impact initiatives within large organizations.

This position offers the chance to make a significant impact on LinkedIn's data infrastructure, working with a talented team while helping shape how millions of professionals discover and leverage career opportunities. The role combines technical excellence with strategic thinking, making it perfect for senior engineers passionate about solving complex data challenges at scale.

Last updated 2 hours ago

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
  • Drive improvements in system observability, monitoring, and alerting
  • Lead efforts to improve system reliability, availability, and maintainability

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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