Data Engineering Manager (GTM)

LinkedIn is the world's largest professional network, built to help members achieve more in their careers.
$147,000 - $240,000
Data
Staff Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
Enterprise SaaS

Description For Data Engineering Manager (GTM)

LinkedIn, the world's largest professional network with over 1 billion members, is seeking a Data Engineering Manager to lead their GTM Data Science team. This role sits at the intersection of data science, engineering, and business strategy, focusing on building the data foundations that power LinkedIn's monetization efforts.

The position offers a unique opportunity to drive impact at scale, working with massive datasets and complex business challenges. You'll lead a team of high-performing data scientists and engineers, building the infrastructure that powers sales insights, operations, and strategy. The role combines technical leadership with strategic business partnership, requiring both deep technical expertise and strong business acumen.

As the Data Engineering Manager, you'll be responsible for tracking and optimizing every touchpoint in the customer journey throughout their lifecycle with LinkedIn. This involves working with large-scale structured and unstructured data, developing machine learning solutions, and creating automated dashboards for executive metrics.

The role offers competitive compensation ($147,000-$240,000), comprehensive benefits, and the opportunity to work in a hybrid environment. You'll be part of LinkedIn's culture that emphasizes well-being, professional growth, and creating economic opportunity for every member of the global workforce.

Key technical aspects include experience with Hadoop/MapReduce, proficiency in Spark, SQL, and Scala, and the ability to work with massive-scale data. The ideal candidate will combine technical expertise with strong leadership skills, able to influence strategy through data-centric presentations and partner effectively with senior leaders.

This position offers the chance to make a significant impact on LinkedIn's business while working with cutting-edge data technologies and leading a talented team. If you're passionate about data, leadership, and driving business impact through technical innovation, this role presents an excellent opportunity for career growth and development.

Last updated 2 days ago

Responsibilities For Data Engineering Manager (GTM)

  • Partner with cross-functional teams to lead and drive strategic projects
  • Lead and manage high-performing data science and engineering teams
  • Analyze large-scale structured and unstructured data
  • Build and prototype scalable tools/applications
  • Act as thought partner to senior leaders
  • Provide technical guidance and mentorship
  • Build/leverage advanced practices in research and machine learning

Requirements For Data Engineering Manager (GTM)

Scala
Python
  • BS/BA in Computer Science or related technical discipline
  • 5+ years of industry experience
  • 1+ year(s) of management experience or staff level engineering experience
  • Experience with Hadoop/MapReduce
  • Proficiency in Spark, SQL, Scala
  • Strong leadership and communication skills
  • Experience with massive-scale data manipulation

Benefits For Data Engineering Manager (GTM)

Medical Insurance
Dental Insurance
Vision Insurance
Equity
  • Health and wellness programs
  • Time away policies
  • Annual performance bonus
  • Stock options
  • Competitive compensation

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