Data Engineering Manager (Premium)

LinkedIn, the world's largest professional network with over 1 billion members, is seeking a Data Engineering Manager to lead their Premium Data team. This role presents an exceptional opportunity to influence a multi-billion dollar business and shape the data architecture supporting LinkedIn's online subscription platform.

As the Data Engineering Manager for Premium, you'll be responsible for leveraging data to inform business strategies, optimize product performance, and support innovative initiatives that drive Premium membership growth. With almost 8 million Premium members globally, your work will have significant impact on LinkedIn's subscription business.

The role combines technical leadership with strategic business partnership. You'll lead a team of high-performing data scientists and engineers, working on large-scale data analysis, machine learning solutions, and scalable data applications. Key responsibilities include partnering with cross-functional teams, driving strategic projects, and acting as a thought partner to senior leadership.

The ideal candidate brings 5+ years of industry experience, with at least 1 year of management experience or staff-level engineering experience. Technical expertise should include proficiency in SQL, Python/R/Scala, and experience with Hadoop/MapReduce paradigms. Strong leadership abilities, excellent communication skills, and strategic thinking are essential.

LinkedIn offers a hybrid work environment, competitive compensation ($147,000-$240,000), and comprehensive benefits including health programs, equity, and performance bonuses. This is an opportunity to join a dynamic team that shapes the future of professional networking while working with cutting-edge data technologies and driving meaningful business impact.

The role is based in Sunnyvale, CA, where you'll collaborate with talented teams across LinkedIn to build robust data foundations and drive data-driven decision making. If you're passionate about leading technical teams, solving complex data challenges, and driving business growth through data insights, this role offers an exciting opportunity to make your mark at one of the world's leading professional networks.