Senior Data Engineer, Ads

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About This Role

Discord is a multiplatform service designed to help individuals connect and deepen friendships around video games and shared interests. The company is currently hiring a Senior Data Engineer, Ads to shape the technical vision and strategy for advertising product data. In this position, you will build and maintain advanced data pipelines, canonical datasets, and analytical tools that directly support machine learning initiatives. This role requires partnering closely with product, machine…

Job Description

Responsibilities

• Design and own core advertising data models, fact and dimension tables, canonical datasets, and aggregation layers supporting delivery, measurement, targeting, attribution, and machine learning use cases.
• Build and maintain machine learning data pipelines enabling ad ranking, delivery, and targeting, including feature development, label generation workflows, intra-day training, and input observability.
• Develop conversion measurement pipelines and integrate third-party attribution data from platforms such as Adjust, AppsFlyer, and Singular.
• Construct batch and near real-time pipeline infrastructure utilizing BigQuery, dbt, and Dagster.
• Collaborate with the Data Platform team to launch and support low-latency data processing engines.
• Create data quality frameworks, monitoring systems, automated anomaly detection, and service level agreement infrastructure for massive-scale ads pipelines.
• Identify foundational infrastructure gaps across machine learning, measurement, and reporting, and design scalable canonical solutions.
• Drive alignment across data science, machine learning engineering, ads product, and go-to-market teams.
• Mentor engineers through technical challenges, code reviews, design reviews, and project ownership.

Requirements

• Minimum of 5 years of hands-on experience writing production code and architecting high-volume consumer data pipelines within the advertising technology sector.
• Expertise in digital advertising data engineering, covering ad delivery, conversion measurement, attribution pipelines, or machine learning feature data infrastructure.
• Expert-level proficiency in SQL and Python.
• Proven experience building data models in a greenfield or zero-to-one environment with frequently changing requirements.
• Hands-on background with data quality audits, monitoring systems, and automated anomaly detection for massive-scale datasets exceeding billions of rows.
• Strong technical communication skills to drive alignment and secure adoption from technical stakeholders.

Qualifications

• Passion for Discord or gaming communities.
• Experience with data visualization and dashboarding technologies such as Looker or Tableau.
• Background in designing data architecture to support reporting, ad hoc analysis, and experimentation.
• Experience utilizing data AI tools to improve self-service utility for customers.
• Familiarity with building near real-time or streaming pipeline infrastructure like Kafka or Spark Streaming.

Core Skills

Benefits

• Base salary ranging from USD 220,500 to 245,000 per year
• Equity
• Standard benefits

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