To build a world-class data platform to efficiently ingest over 60 to 70 billion daily events while using systems to improve the product
Requirements
- 10+ years of experience in large-scale distributed computing systems, with expertise in both data engineering and data modeling
- 5+ years of experience managing live production environments, including high-load systems or data-intensive workflows with a focus on uptime and reliability
- Expert in SQL and proficient in technologies like Spark, Kafka, Terraform, and in at least one programming language commonly used for data engineering (e.g., Python, Scala, or Java)
- Strong knowledge of ETL/ELT design patterns, orchestration tools (e.g., Airflow, dbt, Dagster), and data quality frameworks
- Ability to design scalable, secure, and maintainable data models and architectures, and understanding of data governance, privacy regulations (GDPR/CCPA)
Responsibilities
- Architect and lead the development of large-scale systems for data pipelines, data lakes that handle billions of daily events
- Design and implement solutions that ensure data is available, secure, and scalable across the platform, enabling real-time and batch processing
- Make high-level architectural decisions about system design, technology choices, and platform evolution, ensuring scalability and long-term sustainability
- Collaborate with key stakeholders, such as product teams, data engineers, back-end developers, and ML engineers, to build tools & frameworks that power analytics, product features, and data-driven workflows
- Work with business stakeholders such as Analytics Eng, Data Science teams to build high-impact data products enabling business-critical features, research, and experimentation with a focus on efficiency and alignment
Other
- Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable
- Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust
- Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments
