The opportunity
Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on…
What you'll do
Define technical strategy and architectural direction for analytics data: infrastructure, building and maintaining enterprise-scale curated datasets and data models
Own the design and implementation of data governance programs end to end, by: partnering with stakeholders and translating policy requirements into flexible and configurable infrastructure in partnership with Data Platform Engineering.
Design and build sophisticated data abstractions and analytical frameworks: using SQL, Python, and modern data stack technologies
Develop data quality frameworks, monitoring, anomaly detection, and alerting: at massive scale, with governance, lineage tracking, and change management rigor appropriate for externally reported numbers
Drive adoption of consistent data modeling patterns, naming conventions,: documentation norms, and metric governance standards across the data organization
Lead cross-functional technical initiatives across product verticals and: mentor engineers to accelerate delivery and harden data systems
What they're looking for
- Navigate ambiguity and make sound technical decisions with incomplete: information, balancing short-term delivery with long-term infrastructure investment
- + years of experience in data and software engineering with a strong focus on: building curated, consumer-facing datasets
- + years of experience in designing, developing, and maintaining data: infrastructure used by data teams at scale.
- Expert-level SQL and strong Python skills , with solid fundamentals in version control and CI/CD
