Roblox is looking for an engineering leader to manage a centralized Data Engineering team responsible for highly leveraged core datasets to support the growing demand for analytics reporting, experimentation, and machine learning applications at petabyte scale.
Requirements
- 8+ years of professional experience building multi-terabyte datasets and ETL pipelines on industry standard ETL orchestration tools and execution engines, with deep expertise in SQL and PySpark.
- Comfortable designing new core datasets, debugging and optimizing complex business logic, and leading incident response for operational issues.
- Proven track record building end-to-end analytics solutions to support Data Science, Experimentation, and Machine Learning applications.
Responsibilities
- Lead and grow centralized team of Data Engineers to support Roblox's expanding and evolving Analytics data needs.
- Establish best practices and standards for data modeling, data operations, data quality and reliability, and data lifecycle management.
- Ensure rigor through code review and unit test / data quality coverage.
- Partner with cross-functional leads in Data Science, Product, and Engineering to understand business needs and develop analytics solutions to support them.
- Design, build, and maintain efficient and reliable batch and streaming data pipelines to support core data sets.
- Develop scalable frameworks and tooling to automate analytics workflows and streamline users interactions with data products.
Other
- 2+ years managing a Data Engineering team.
- Team-first Mindset: You're a collaborative leader who thrives on mentoring and enabling others to succeed.
- Strategic Thinking: You’re comfortable balancing near-term impact with long-term innovation.
- Roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below.
- Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
