This position is US based only.

Discord is about giving people the power to create space to find belonging in their lives. We want to make it easier for you to talk regularly with the people you care about. We want you to build genuine relationships with your friends and communities close to home or around the world. Original, reliable, playful, and relatable. These are the values that connect our users and our employees at Discord. 

The central Data Platform seeks to build a self-service tooling platform to make the petabytes of data at Discord easily accessible for everyone at the company. We build full-stack applications, tooling, and frameworks to improve the productivity of teams at Discord, in particular our product, analytics, and machine learning teams. Our tooling covers the end-to-end lifecycle of data from acquisition to consumption. Reporting to the Engineering Manager of Data Infrastructure, you will work on strategy that is foundational to the company and product. To learn more about Discord Engineering, read our engineering blog here — including "How We Create Insights From Trillion Data Points" that this team is behind!

What You'll Be Doing

• Lead end-to-end development of data tooling and frameworks, using modern technologies such as BigQuery, Apache Beam, Airflow, Dagster, dbt, Kubernetes, and Rust.
• Ensure tight-knit collaboration with leadership, cross-functional stake-holders and senior engineers across the organization. Collaborate with leadership and senior engineers across the team to define the technical vision and build on the technical roadmap for Data Platform.
• Work with Data Platform to ensure we have a platform with strong governance that respects our users' privacy throughout.
• Care deeply about business outcomes and constraints and keep them in mind as you solve hard, unbounded problems.
• Coach and mentor the next generation of technical leaders at Discord.

You Will Thrive In This Role If

• 5+ years of experience as a Software Engineer.
• Empathy for both your internal and external users and seek feedback on your work.
• Ability to approach problems with first principles thinking, embrace ambiguity, and enjoy collaborative work on complex solutions.
• Experience defining architecture, tooling, and strategy for a large-scale data processing system.
• Proactive in staying up-to-date with industry trends and assessing new technologies to enhanse problem solving capabilities.

Bonus Points

• Experience working with very high-scale data infrastructure and tooling
• Experience with data products on Google Cloud Platform, Kubernetes, or Airflow
• Full-stack development or product engineering experience

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The US base salary range for this full-time position is $183,000 to $201,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

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