Discord3 дня назад

Staff Data Engineer - Data Infrastructure

23 250–25 833 ₽в месяц · до вычета
РЫНОК
14 534медиана по профессии
Tech Lead / Team Lead · 64 вакансий с указанной зарплатой
5 250половина предложений: 11 312–19 1671,2 млн
Выше рынка · выше 83% предложений
San Francisco Bay Area

Обязанности

  • 01Define technical strategy and architectural direction for analytics data infrastructure, building and maintaining enterprise-scale curated datasets and data models
  • 02Own 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
  • 03Design and build sophisticated data abstractions and analytical frameworks using SQL, Python, and modern data stack technologies
  • 04Develop data quality frameworks, monitoring, anomaly detection, and alerting at massive scale, with governance, lineage tracking, and change management rigor appropriate for externally reported numbers
  • 05Drive adoption of consistent data modeling patterns, naming conventions, documentation norms, and metric governance standards across the data organization
  • 06Lead cross-functional technical initiatives across product verticals and mentor engineers to accelerate delivery and harden data systems
  • 07Navigate ambiguity and make sound technical decisions with incomplete information, balancing short-term delivery with long-term infrastructure investment

Требования

  • 017+ years of experience in data and software engineering with a strong focus on building curated, consumer-facing datasets
  • 027+ years of experience in designing, developing, and maintaining data infrastructure used by data teams at scale
  • 03Expert-level SQL and strong Python skills , with solid fundamentals in version control and CI/CD
  • 04Proven experience implementing data quality audits, monitoring systems, and automated remediation for massive datasets
  • 05Strong 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
  • 06Track record of hands-on collaboration with Data Science, Finance, and Product teams

Условия

  • 01Full-time position
  • 02Equity
  • 03Benefits
  • 04Reports to the Director of Data Engineering
  • 05Works closely with Data Governance, Data Science, Product, Finance, and Engineering teams