Staff Data Engineer - Data Infrastructure

Discord · San Francisco Bay Area$23,250–$25,833 USD/messenior

En corto

▸Ingeniero de datos sénior que define arquitectura y estrategia para infraestructura de datos analítica a gran escala.
▸Diseña datasets confiables, de calidad y auditables que alimentan métricas públicas y de inversión.
▸El rol exige rigor excepcional: datos que se usan para reportes externos y auditorías SOX.

Comfortable explaining complex implementations to audiences from engineering peers to exec

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¿Qué piden?

✓7+ años en ingeniería de datos y construcción de infraestructura a gran escala.
✓Experto en SQL y Python con sólidos conocimientos en control de versiones y CI/CD.
✓Experiencia comprobada en calidad de datos, monitoreo y remedición automatizada a gran escala.
✓Capacidad para traducir preguntas empresariales ambiguas en métricas claras y definidas.
✓Colaboración comprobada con equipos de Data Science, Finanzas y Producto.
✓Liderazgo técnico en iniciativas transversales y mentoría de ingenieros.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

SQLPythonversion controlCI/CDdbtBigQuerydata governancedata quality frameworkslineage trackingchange management

¿A quién escribirle en Discord?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 making it easier and more fun for people to hang out before, during, and after playing games. Discord is looking for a seasoned technical leader to join our Data team as a Staff Data Engineer. You will drive technical vision and strategy for our analytical data infrastructure which facilitates the transformation and semantic layer that powers clean, tested, well-documented datasets that the company can trust and self-serve from. The data your team builds won't just inform internal decisions, it will underpin the metrics we share with investors, partners, and the public, requiring exceptional rigor, auditability, and precision. This role works closely with Data Governance, Data Science, Product, Finance, and Engineering teams. This role reports to the Director of Data Engineering. What You'll Be Doing • 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 • Navigate ambiguity and make sound technical decisions with incomplete information, balancing short-term delivery with long-term infrastructure investment What You Should Have • 7+ years of experience in data and software engineering with a strong focus on building curated, consumer-facing datasets • 7+ 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 • Proven experience implementing data quality audits, monitoring systems, and automated remediation for massive datasets • Strong business acumen and communication skills, comfortable translating ambiguous business questions into concrete metric definitions and explaining complex implementations to audiences from engineering peers to executive leadership • Track record of hands-on collaboration with Data Science, Finance, and Product teams 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 The US base salary range for this full-time position is $279,000 to $310,000 + equity + benefits. Our salary ranges are determined by role and l

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