Leads the technical strategy, governance, and quality of Discord’s analytical data infrastructure, building trusted curated datasets and metric frameworks for internal and externally reported analytics. Requires 7+ years in data and software engineering, expert SQL, strong Python, and experience operating data systems at scale.
279k – 310k/yr
On-site7+ YOEData Engineering
About the role
Responsibilities
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, translating policy requirements into flexible, configurable infrastructure in partnership with Data Platform Engineering.
Design and build 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 rigorous change management.
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.
Make sound technical decisions with incomplete information while balancing short-term delivery with long-term infrastructure investment.
Requirements
7+ years of experience in data and software engineering, focused on building curated, consumer-facing datasets.
7+ years of experience designing, developing, and maintaining data infrastructure used by data teams at scale.
Expert-level SQL and strong Python skills.
Solid fundamentals in version control and CI/CD.
Experience implementing data quality audits, monitoring systems, and automated remediation for massive datasets.
Strong business acumen and communication skills, including translating ambiguous business questions into concrete metric definitions.
Experience collaborating with Data Science, Finance, and Product teams.
Nice-to-Haves
Experience building or contributing to a semantic layer or metrics store.
Experience with modern analytics and data engineering tools and workflows, such as dbt and BigQuery.
Experience defining and governing metric standards across a data organization.
Experience with reporting infrastructure subject to external audit or SOX compliance.
Compensation and Benefits
Base salary range: $279,000–$310,000, plus equity and benefits.
Compensation details reflect base salary only and exclude equity and benefits.
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