Engineering Manager, Analytical Data Engineering

Roblox • San Mateo, CA

85d

About The Position

The Analytical Data Engineering team at Roblox is responsible for the most highly leveraged core datasets to support the growing demand for analytics reporting, experimentation, and machine learning applications. We're looking for an engineering leader with deep expertise owning and operating performant data models and pipelines to support product analytics at petabyte scale. In this role you will manage a centralized Data Engineering team with a large scope covering every product group at Roblox. You will be responsible for growing the team through hiring and upleveling the existing engineers, establishing best practices and standards for data quality and reliability, and leading cross-team efforts to unlock the value of analytics data. This role is highly cross-functional, requiring close collaboration with Data Science, Experimentation, and Machine Learning teams to understand customer requirements and analytics applications, as well as with Data Infrastructure and Storage teams to develop scalable solutions for more efficient and reliable data processing. Join us and be a part of a dynamic team driving innovation and growth at Roblox!

Requirements

• Leadership Experience: 2+ years managing a Data Engineering team.
• Data Engineering Expertise: 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.
• Proven track record building end-to-end analytics solutions to support Data Science, Experimentation, and Machine Learning applications.
• 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.

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.

What This Job Offers

• Job Type: Full-time
• Industry: Administrative and Support Services