Discord
Gaming
StaffDataEngineer,Analytics
“Staff Data Engineer, Analytics at Discord. Skills: Analytics data infrastructure, Curated datasets, Data models, Metric definitions, BI tools. Define technical strategy and architectural direction for analytics data infrastructure. Building and maintaining enterprise-scale curated datasets and data models”
What You'll Achieve.
Building and maintaining enterprise-scale curated datasets and data models; Own metric definitions end to end; Surfacing metrics and dimensions in dashboards and reports; Develop data quality frameworks, monitoring, anomaly detection, and alerting at massive scale; Drive adoption of consistent data modeling patterns, naming conventions, documentation norms, and metric governance standards; Accelerate delivery and harden data systems
Industry & Context.
Translating ambiguous business questions into concrete metric definitions; Navigate ambiguity; Make sound technical decisions with incomplete information
What They're Looking For.
Must Have
7+ years of experience in analytics or data engineering, 7+ years of experience in designing, developing, and maintaining robust data models, Expert-level SQL, Expert-level Python, Solid fundamentals in version control, Solid fundamentals in CI/CD, Proven experience implementing data quality audits, Proven experience implementing monitoring systems, Proven experience implementing automated remediation for massive datasets, Experience building and owning executive-level dashboards and reports using BI tools
Nice to Have
Passion for Discord or online communities, Experience building or contributing to a semantic layer or metrics store, Experience with modern analytics and data engineering tools and workflows (dbt, BigQuery, or similar), Experience defining and governing metric standards across a data organization, Experience with reporting infrastructure subject to external audit or SOX compliance
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 metric definitions end to end
Partnering with stakeholders to define what we measure
Designing and implementing data model in production
Surfacing metrics and dimensions in dashboards and reports
Design and build sophisticated data models and analytical frameworks
Develop data quality frameworks
and alerting at massive scale
Drive adoption of consistent data modeling patterns
and metric governance standards
Lead cross-functional technical initiatives across product verticals
Mentor engineers to accelerate delivery and harden data systems
How You'll Work.
Team & Collaboration
Works closely with Data Science, Product, Finance, and Engineering teams; Partnering with stakeholders; Hands-on collaboration with Data Science, Finance, and Product teams; Lead cross-functional technical initiatives
Communication Scope
Communication skills; Explaining complex implementations to audiences from engineering peers to executive leadership
Applying for this Staff Data Engineer, Analytics role?
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