Engineering Manager, Data Platform

discord· 86 open roles

Location TBD On-siteFull-time3 weeks ago

Salary

$248,000 - $279,000

Experience

Mid

Job Type

Full-time

Posted

3 weeks ago

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About This RoleAI processing…

Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.

Key Responsibilities

1
Lead and grow one or more teams of engineers building data infrastructure that processes petabytes of data across millions of users
2
Partner with People and Technical leaders to set technical direction and define the roadmap for your team(s)
3
Drive a culture of 80/20 thinking, quality-centered execution, and timely decision-making to ensure your team consistently ships high-impact results
4
Build strong relationships with cross-functional partners to align technical solutions with business goals
5
Help your team navigate ambiguity while maintaining momentum toward business outcomes

Requirements

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)