Build and evolve production data pipelines that transform source events and transactional data into accurate, trusted data products. Balance freshness, reliability, cost, and maintainability across batch and, where the use case calls for it, lower-latency processing.
Partner with Data Science, Product, Finance, and engineering teams to define and operationalize important business metrics—including subscriber, revenue, booking, retention, and product usage measures—and ensure definitions are consistent across reporting and experimentation.
Strengthen the data foundations behind high-velocity product work and revenue growth. Translate ambiguous questions into robust models, metrics, and analytical capabilities that help teams size opportunities, evaluate launches, and learn from experiments.
Establish data quality, testing, monitoring, and documentation practices for the data assets you own. Pay particular attention to accuracy, freshness, auditability, and edge cases in subscription, payment, and commerce data.
Improve self-service analytics by maintaining a discoverable semantic layer, reusable data models, and clear guidance that let partner teams answer common questions with less bespoke support. Contribute to AI-assisted analytics workflows where they can make data access more useful and dependable.
Work closely with upstream Data Platform and downstream Data Science partners to align on interfaces, data contracts, and operational expectations; communicate trade-offs and risks clearly to technical and non-technical stakeholders.
Mentor data engineers through design and code reviews, technical guidance, and ownership of complex projects. Raise the bar for engineering quality and help teams adopt consistent data modeling and documentation practices.
What You Should Have
7+ years of experience building and operating production data pipelines and data products, including significant hands-on ownership of architecture and implementation.
Expert-level SQL and strong Python skills, with experience writing maintainable, tested production code.
A track record of designing robust data models from large-scale event, product, or transactional data and making them usable for analytics, reporting, and experimentation.
Experience setting technical direction across complex projects, identifying systemic data problems, and delivering solutions that multiple teams can rely on.
Strong data quality instincts, including experience with testing, monitoring, data freshness, documentation, and the investigation of metric discrepancies.
Experience with modern data engineering tools and workflows (for example, dbt, BigQuery, Dagster, or equivalent), version control, and CI/CD practices.
Experience partnering with Data Science, Product, Finance, and Engineering to turn ambiguous business questions into clear metric definitions and dependable data products.
Excellent communication and collaboration skills, with the ability to build alignment, explain technical trade-offs, and earn trust across teams.
A desire to work with thoughtful, passionate people who care deeply about solving challenging problems to improve Discord.
Bonus Points
Passion for Discord or online communities
Experience with subscription, payments, e-commerce, virtual currency, or other consumer monetization data.
Experience building data products for experimentation, causal measurement, or product launch evaluation.
Experience developing a semantic layer, metrics store, or self-service analytics platform.
Experience with streaming or near-real-time data systems, or improving the reliability and observability of critical pipelines.
Experience with AI-assisted analytics or tools that help teams safely discover and use trusted data.
Passion for Discord, gaming, or online communities.
The base salary range for this full-time position is listed below. This position will also be eligible for equity and benefits. Benefits include medical, dental, and vision insurance; a 401(k) plan; life and disability insurance; paid time off; and paid parental leave. 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 role postings reflect the base salary only, and do not include equity, or benefits. Applications for this role are accepted on an ongoing basis.
Base Salary
$248,000—$310,000 USD
Why Discord?
Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!
Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.
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