Director of Data and Analytics Engineering, Discord

• 10+ years of experience in data engineering and/or analytics engineering, with deep expertise in building scalable data systems
• 5+ years of management experience, having successfully hired and grown other managers and technical leaders
• Proven track record of cross-functional collaboration with data science, ML, and engineering teams to optimize data pipelines and consumption patterns for usability, performance, and cost—working end-to-end from instrumentation to insights
• Deep hands-on expertise with modern data storage and processing technologies (BigQuery, SQL, Airflow, Dagster, dbt, or similar)
• Experience with data visualization and dashboarding technologies (Looker, Tableau, or similar)
• Track record of building and scaling semantic/metrics layers (using tools like dbt metrics, Looker LookML, or similar) that enable reliable insights through both dashboards and AI-powered experiences
• Demonstrated success building self-service analytics capabilities and data products that democratize data access and empowering non-technical stakeholders
• Exceptional communication skills across technical and non-technical audiences, with an ability to explain complex concepts clearly and influence at all levels
• Comfort navigating ambiguity, solving problems that are not well-defined and adapting as priorities evolve quickly
• Experience working with and influencing executives to drive data-informed decision making
• A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord

Desirable

• As Director of Data and Analytics Engineering, you'll build the data products and systems that powers how Discord accesses data—from self-service analytics and dashboards to AI-powered experiences that let anyone query data naturally
• You'll lead a team of talented engineers and engineering managers through a critical growth phase, enabling rapid decision making across our subscription, advertising and commerce businesses
• You'll strengthen data engineering foundations while advancing analytics engineering practices—creating high-quality, well-modeled datasets and semantic layers that enable both technical teams and business users to access data reliably, whether through traditional analytics platforms or AI-powered assistants
• Develop and drive a strategic vision to make data quality and reliability paramount across Discord
• Partner closely with leadership across data platform, ML platform, and other and related engineering teams teams to shape the overall vision of data at Discord
• Partner with AI Productivity teams to democratize data through AI, building semantic layers that enable natural language querying and AI-driven data experiences
• Define and implement data modeling best practices using frameworks like dimensional modeling, ensuring consistent business logic and metrics definitions across the organization
• Build and optimize foundational, high-leverage datasets that power business-critical applications including analytics, machine learning, experimentation, and more
• Establish metrics governance and a robust semantic layer that serves as the foundation for both traditional analytics tools and AI-powered data experiences, creating a single source of truth that enables accurate insights whether accessed through dashboards or natural language queries
• Strengthen a world-class data engineering team, expanding the impact and reach of data across the organization
• Foster a collaborative culture that thrives on innovation, impact, and continuous learning