Staff Data Engineer, Ads

Job Description

Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games. Discord seeks a seasoned technical leader to join our Data team as a Staff Data Engineer, 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. You will lead cross-functional initiatives to transform our advertising products through data-driven insights and mentor fellow engineers to deliver exceptional results. This role works heavily with Data Science, product, sales, and account management teams. If leading technical innovation, architecting scalable solutions, and empowering teams through data excites you, we encourage you to make a move! What You'll Be Doing 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, owning design through implementation Drive cross-functional technical initiatives solving sophisticated data engineering challenges Build scalable rubrics that help lead and mentor engineers through projects that accelerate launch velocity 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 hands-on experience writing production code and architecting data pipelines with high-volume consumer data in advertising technology domains (eg. ad delivery, ranking, targeting, identity) 7+ years of direct implementation experience designing, coding, and maintaining complex data models and systems handling structured and unstructured data so

Required Skills