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Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
The 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 up-leveling 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!
You Will:
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.
You Have:
Leadership Experience: 5+ 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. You are comfortable designing new core datasets, debugging and optimizing complex business logic, and leading incident response for operational issues.
Product Analytics Breadth: 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.
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
Annual Salary Range
$345,040—$399,420 USD
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.