Staff Data Engineer, Analytics

Discord is seeking a Staff Data Engineer, Analytics to steer the technical strategy and architecture of its analytics data infrastructure. You will own the transformation and semantic layer and end-to-end metrics in collaboration with Data Science, Product, Finance, and Engineering.

The role is based onsite in the San Francisco Bay Area, CA, with a compensation range of USD 248,000 to 279,000 per year. This position requires at least seven years of relevant experience.

Below is a structured overview of the responsibilities, requirements, and technologies involved.

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 to measure, designing production data models, and surfacing metrics and dimensions in dashboards and reports.
• Design and implement sophisticated data models and analytical frameworks using SQL, Python, and modern data stack technologies.
• Develop data quality programs, monitoring, anomaly detection, and alerting at scale, with governance, lineage tracking, and change-management practices 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.
• 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 of experience 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 such as Looker, Tableau, or similar.
• Strong business acumen and communication skills, comfortable translating ambiguous business questions into concrete metric definitions and explaining complex implementations to audiences ranging from engineers 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