Staff Data Engineer, Analytics

Location: San Francisco Bay Area, CA (onsite) • Salary: USD 248,000 - 279,000 per year

Discord offers equity and a platform to shape analytics at scale. In the Staff Data Engineer, Analytics role, you will define the technical strategy and architecture for analytics data infrastructure, own the transformation and semantic layer, and own end-to-end metrics in collaboration with Data Science, Product, Finance, and Engineering.

Responsibilities

• Define the technical strategy and architectural direction for analytics data infrastructure, building and maintaining enterprise-scale curated datasets and data models
• Own end-to-end metric definitions, partnering with stakeholders to determine what we measure, designing and implementing production data models, and surfacing metrics and dimensions in dashboards and reports
• Design and build sophisticated data models 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 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
• Navigate ambiguity and make sound technical decisions with incomplete information, balancing short-term delivery with long-term infrastructure investment

Requirements

• 7+ years of experience in analytics or data engineering with a strong focus on building curated, consumer-facing datasets
• 7+ years designing, developing, and maintaining robust data models from structured and unstructured sources
• Expert-level SQL and strong Python skills, with solid fundamentals in version control and CI/CD
• Proven experience implementing data quality audits, monitoring systems, and automated remediation for massive datasets
• Experience building and owning executive-level dashboards and reports using BI tools (eg, Looker, Tableau, or similar)
• Strong business acumen and communication skills, able to translate ambiguous business questions into concrete metric definitions and explain complex implementations to audiences from engineering peers to executive leadership
• Track record of hands-on collaboration with Data Science, Finance, and Product teams

Technologies

• SQL
• Python
• Looker
• Tableau
• dbt
• BigQuery

Benefits

• equity

Bonus Points

• 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