16 days ago
Base Salary
$248k - $310k/yr
Responsibilities
- Set technical direction, scalable architectures, and engineering standards for Consumer Revenue data systems.
- Design and own canonical data models and datasets for subscriptions, payments, purchases, Shop, gifting, and Orbs.
- Build and operate production data pipelines transforming event and transactional data into trusted data products.
- Define and operationalize subscriber, revenue, booking, retention, and product usage metrics with cross-functional partners.
- Establish data quality, testing, monitoring, documentation, freshness, and auditability practices.
- Maintain semantic-layer and reusable data-model capabilities to improve self-service analytics.
- Align with Data Platform and Data Science teams on interfaces, data contracts, and operational expectations.
- Mentor data engineers through design reviews, code reviews, technical guidance, and complex project ownership.
Requirements
- 7+ years of experience building and operating production data pipelines and data products, including significant hands-on architecture and implementation ownership.
- Expert-level SQL and strong Python skills, with experience writing maintainable and tested production code.
- Experience designing robust data models from large-scale event, product, or transactional data for analytics, reporting, and experimentation.
- Experience setting technical direction across complex projects and delivering data solutions used by multiple teams.
- Experience with data testing, monitoring, freshness, documentation, and investigating metric discrepancies.
- Experience with modern data engineering tools and workflows such as dbt, BigQuery, Dagster, or equivalent.
- Experience partnering with Data Science, Product, Finance, and Engineering to define metrics and build dependable data products.
- Strong communication and collaboration skills, including explaining technical trade-offs and building cross-functional alignment.
- Experience with subscription, payments, e-commerce, virtual currency, consumer monetization, experimentation, causal measurement, semantic layers, metrics stores, streaming or near-real-time systems, pipeline observability, or AI-assisted analytics is preferred.
Benefits
- Full-time position eligible for equity and benefits.
- Base salary range of $248,000—$310,000 USD.
- Discord is committed to inclusion and provides reasonable accommodations during the interview process.
About Discord
Discord builds a voice, video, and text chat platform organized around servers for gaming and interest-based communities. It monetizes through Nitro subscriptions, server subscriptions, and digital goods, and offers a developer platform for bots and apps. Founded in 2015 and headquartered in San Francisco, it is privately held and used by over 200 million people monthly.