Software Engineering Manager, Systems and Infrastructure - Data Catalog

LinkedIn • Mountain View, CA

21h • Hybrid

About The Position

This role will be based in Mountain View At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. As a Software Engineering Manager of the Data Catalog team at LinkedIn, you will be part of our world-class software engineering team that is building the next generation of Data Management—evolving from static, human-driven tooling to Agentic Data Management, where intelligent systems actively understand, reason over, and assist with data usage, governance, and reliability at scale. The Data Catalog team sits at the center of this transformation. We own metadata collection, insights into data ecosystem, data lineage, and data discoverability, and are responsible for turning fragmented metadata into a living, queryable, and actionable knowledge graph that powers both humans and AI agents. This org will be foundational to enabling agentic workflows at LinkedIn—powering AI agents to reason over metadata, lineage, ownership, freshness, and quality to proactively assist users and deliver a delightful data engineering experience. As part of this transformational journey, we are looking for passionate individuals that would drive strategy in the following areas: Data Lineage: Design and implement scalable End-to-End (E2E) lineage systems to track data flow, support impact and root-cause analysis, and integrate with other tools in the company Ecosystem Insights & Intelligence: Provide visibility into the health, usage, and evolution of the data ecosystem, driving continuous improvement in data craftsmanship through actionable insights and metrics, and enabling a sustainable, resilient data ecosystem over time.

Requirements

• BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience.
• 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training
• 5+ years of industry experience in software design, development, and large-scale software engineering
• Experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages.
• Hands on experience developing distributed systems, databases, large scale data systems and/or Backend API's

Nice To Haves

• MS or PhD in Computer Science or related technical discipline
• 5+ years of hands-on software engineering/technical management and people management experience
• 7+ years industry experience in software design, development, and algorithm related solutions.
• 5+ years programming experience in languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages.
• Experience of APIs and AI/agent-driven data management.
• Experience in architecting, building, and running large-scale distributed systems
• Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Flink, Open Lineage, GraphQL, GRPC, Apache Kafka, Pinot,
• Experience with open-source project management and governance

Responsibilities

• Lead, coach and manage core team of engineers working on building the infrastructure.
• Participate with senior management in developing a long-term technology roadmap for the team and company.
• Dive deep into technical discussions to challenge the status quo, and steer the team in the right direction/to push the envelope.
• Communicate and collaborate effectively with stakeholders across engineering and business leadership.
• Help the team realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and providing challenges to stretch their skills.
• Drive a culture of operational excellence.
• Lead the team into defining performance goals, metrics and building the infrastructure and tooling necessary to maintain a high quality bar and detect issues in real time.
• Create an inclusive work environment that fosters autonomy, transparency, innovation and learning, while holding a high bar for quality.

Benefits

• We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels
• LinkedIn is committed to fair and equitable compensation practices.
• The pay range for this role is $200,000 - $268,000
• Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location.
• This may be different in other locations due to differences in the cost of labor.
• The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.
• For more information, visit https://careers.linkedin.com/benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager