Engineering Manager, Data Platform

Every day, hundreds of millions of gamers gather on Discord to hang out, strategize their next raid, celebrate tournament victories, and build communities around the games they love. Behind every voice channel, every streamer Go Live, every Quest completed, there's data, petabytes of it, telling the story of how people connect through gaming.

We're looking for an Engineering Manager who gets excited about building world-class teams and data infrastructure at massive scale. Someone who cares deeply about the communities we serve and is passionate about developing engineers who build lovable products for Discord users and Discord engineers alike. You'll lead a team building the next generation Data Platform that powers decisions for one of the most vibrant platforms in the world.

If you're the kind of leader who lights up when coaching engineers, making tough technical decisions, and wants your team's work to directly impact millions worldwide, we want to talk to you.

To learn more about Discord's Data Platform, read our engineering blog, including how we built our modern data stack leveraging open-source tools!

This position is based in our San Francisco office.

What You'll Be Doing

• Lead and grow one or more teams of engineers building data infrastructure that processes petabytes of data across millions of users
• Partner with People and Technical leaders to set technical direction and define the roadmap for your team(s)
• Drive a culture of 80/20 thinking, quality-centered execution, and timely decision-making to ensure your team consistently ships high-impact results
• Build strong relationships with cross-functional partners to align technical solutions with business goals
• Help your team navigate ambiguity while maintaining momentum toward business outcomes

What you should have

• 2+ years of engineering leadership and 7+ years of software engineering experience with expertise in large-scale distributed systems or data infrastructure
• Strong people management skills including hiring, performance management, coaching, and conflict resolution
• Demonstrated ability to set the pace for a team, remove blockers, and drive projects to completion
• Excellent communication skills with ability to foster clear, effective dialogue across all levels and audiences
• Proven track record independently making sound technical decisions through ambiguity in partnership with cross-functional stakeholders
• Experience with the data ecosystem: pipelines, ETL, modeling, and/or warehousing (Kafka, Spark, Flink, Airflow, Dagster, SQL, etc.)
• Cloud infrastructure knowledge (AWS, GCP, Azure) or containerization (Docker, Kubernetes)