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SeniorFull-timePythonData ScienceGitMLData
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a seasoned technical leader to join our Data team at Discord, focusing on our advertising products. In this role, you will drive technical vision and strategy for ads data infrastructure while building and maintaining sophisticated data pipelines, datasets, and analytical tools.
Key Responsibilities
- →Create and maintain complex, enterprise-scale data pipelines and foundational datasets while defining technical strategy and architectural direction for advertising products
- →Design and build sophisticated ETL processes, data models, and analytical frameworks using SQL, Python, and modern data stack technologies
- →Build and maintain the data infrastructure that powers Ads ML - feature pipelines, label generation workflows, and training data systems that enable our ranking and delivery models
- →Develop data quality frameworks, monitoring systems, automated anomaly detection, and alerting infrastructure that operates at massive scale
- →Collaborate with data scientists, ML engineers, and product teams to identify high-impact data infrastructure opportunities
- →Drive cross-functional technical initiatives solving sophisticated data engineering challenges
- →Build scalable rubrics that help lead and mentor engineers through projects
Requirements
- ✓4+ years of hands-on experience writing production code and architecting data pipelines with high-volume consumer data in advertising technology domains
- ✓4+ years of direct implementation experience designing, coding, and maintaining complex data models and systems handling structured and unstructured data sources
- ✓Expert-level coding abilities in SQL, Python, and modern data engineering frameworks
- ✓Digital advertising data engineering expertise with hands-on experience building high-throughput data pipelines
- ✓Proven hands-on experience implementing and debugging data quality audits, monitoring systems, and automated remediation for massive datasets
- ✓Strong technical communication abilities to explain complex implementations to stakeholders
- ✓Passion for solving complex problems through direct technical contribution
- ✓Hands-on collaboration experience implementing solutions with data science, ML engineering, and product teams
Benefits
- ★Competitive salary and equity
- ★Comprehensive benefits package
