LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

This role will be based in Sunnyvale.

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.
 

Team Description 

At LinkedIn, our Online Infrastructure organization powers systems and technologies that enable rich, online access to LinkedIn's economic graph data and insights for all of LinkedIn's online features and capabilities. We do this by building cutting edge and innovative planet-scale HA systems, and by relentlessly pursuing operational excellence and customer obsession to support LinkedIn's product teams. 

The Graph and Online Analytics Infrastructure group in the Online Infra organization is at the cutting edge of building online distributed databases and services that power real-time insights and graph traversals for our members directly and as critical real-time computations for our member-facing features like recommender systems, targeting and personalization use cases.

As part of the Graph and Online Analytics Infrastructure group, you will have the opportunity to devise and own our multi-year, multi-systems Online Analytics strategy to support LinkedIn's growth at this critical juncture of our AI transformation for our members, customers and for ourselves.

You will be driving LinkedIn’s Online Analytics strategy and its implementation with the rigor and pragmatism demonstrated by your world-class expertise in the domain and prior successes in generating critical business outcomes. You will play a pivotal role in building systems and services in the domain, developing talent, augmenting culture of rigor and customer obsession and partner across Product Platforms, Online Infra and across the company to realize the benefits of online and real-time analytics at scale. As the primary domain expert, you are expected to provide technical leadership, drive architectural decisions and implementation across the group.  You will research, develop, build and ship cutting edge technologies in partnership with the group to achieve Linkedin' business goals. You will inculcate and reinforce rigor, operational excellence and customer obsession in our group and our organization.

Responsibilities

• Architect Real-Time Analytics Platforms: Design and implement distributed query engines and APIs for sub-second latency across heterogeneous systems.
• Own and Evolve Core Systems: Drive the roadmap, scalability, and operational excellence of our existing web-scale analytics systems; ensure these systems meet future analytics demands.
• Drive Service and Operational Excellence: Define and drive service and operational excellence for online analytics services  at consumer-internet scale.
• Culture Builder: Establish and nurture a culture of customer obsession and business impact, combined with high rigor, technical craft, and innovation.
• Cross-System Optimization: Lead architectural decisions for query planning, caching, and optimizations across multiple engines.
• Technical Leadership: Mentor senior engineers, set technical standards, and foster a culture of excellence.
• Industry Engagement: Represent the organization in real-time analytics forums

Basic Qualifications

• BS in Computer Science or equivalent.
• 10+ years in distributed systems and real-time analytics platforms.
• 5+ years in technical leadership roles for OLAP or real-time query engines.
• Experience in developing and scaling large scale databases or analytics systems
• Experience with building columnar storage, vectorized execution, and cost-based optimizers.
• Experience with coding in Java, C++, or Rust; knowledge of query execution, indexing, and concurrency.
   

Preferred Qualifications

• MS/PhD in Computer Science or related field.
• Experience with distributed online analytics systems and databases.
• Expertise in query federation, semantic modeling, and BI integration.
• Expertise with columnar storage, vectorized execution, and rule-based as well as cost-based optimizers.
• Experience building interactive services or analytics APIs for large-scale systems.
• Experience with communication and ability to influence cross-functional teams.
• Background in industry thought leadership.
• Demonstrated ability to align technical decisions with business outcomes and drive customer-centric innovation.

Suggested Skills:

• Distributed Systems design
• Real-time analytics platforms
• Cloud-native architecture
• Deep understanding of concurrency, distributed algorithms, and data structures.
• Familiarity with columnar storage, vectorized execution, and query optimizers.

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 $218,000 to $357,000. 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.

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 [email protected] 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 LinkedIn's 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: https://lnkd.in/paytransparency.

Global 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: https://legal.linkedin.com/candidate-portal.