Software Engineering Manager, Systems and Infrastructure Data Catalog

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profile Job Location:

Mountain View, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

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 Managementevolving 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 LinkedInpowering 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.

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. 


Qualifications :

Basic Qualifications

  • 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 APIs

Preferred Qualifications

  • 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

Suggested Skills

  • Distributed systems

  • Metadata management 

  • Lineage 

  • Java/Golang/Rust/Python

You will Benefit from our Culture

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 $200000 - $268000 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 Information :

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race color religion creed gender national origin age disability veteran status marital status pregnancy sex gender expression or identity sexual orientation citizenship or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening apply for a position or participate in the interview process connect with us at and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

  • Documents in alternate formats or read aloud to you
  • Having interviews in an accessible location
  • Being accompanied by a service dog
  • Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However non-disability related requests such as following up on an application will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by LinkedIn or (c) consistent with LinkedIns legal duty to furnish information.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Work :

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Employment Type :

Full-time

This role will be based in Mountain ViewAt 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 ...
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Key Skills

  • IT Experience
  • Project Management Methodology
  • Data Center Experience
  • LAN
  • Cloud Infrastructure
  • Computer Networking
  • Visio
  • ITIL
  • Project Management
  • SAN
  • Microsoft Project
  • Project Management Lifecycle

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