Director, Data Engineering – Player Lifecycle & Personalization
Required skills
- Player Lifecycle
- Personalization
- Data Strategy
- Data Products
- Data Foundations
- Player Understanding
- Segmentation
- Experimentation
- AI-driven Experiences
- Data Governance
Nice to have
- Gaming
- Consumer Products
- Platform Engineering
- Distributed Teams
- Remote Teams
- Machine Learning
Role summary
Riot Games is seeking a Director of Data Engineering to lead the data strategy for Player Lifecycle & Personalization within the PubSports organization. This role involves building data products, foundations, and capabilities for player understanding, segmentation, personalization, experimentation, and AI-driven experiences. The Director will partner with Product, Insights, Data Science, and AI leaders to ensure scalable and reusable data assets. Responsibilities include modernizing the data ecosystem, improving data quality and governance, driving standardization, and building a high-performing team. The ideal candidate has 12+ years of data engineering experience, including 5+ years in people leadership, and a deep understanding of modern data platforms and practices.
Riot's Data Engineers harness petabytes of data and state-of-the-art processing technologies to build products that elevate the player experience at massive scale. Turning this data into meaningful insights is a complex challenge, and our engineers meet it by staying deeply player-focused and collaborating across diverse teams to improve the lives of millions of players worldwide.
As a Director of Data Engineering within the PubSports organization, you will define and lead the data strategy supporting Player Lifecycle & Personalization across Riot.
This role is responsible for building the data products, data foundations, and organizational capabilities that enable player understanding, segmentation, personalization, experimentation, analytics, and AI-driven experiences. You will partner closely with Product, Insights, Data Science, AI, and Engineering leaders to ensure Riot has trusted, scalable, and reusable data assets that support player engagement and long-term growth.
In addition to owning Player Lifecycle & Personalization, you will lead the modernization and evolution of PubSports' data ecosystem, driving adoption of Riot's data platform standards while establishing a long-term strategy for player intelligence and engagement data.
Responsibilities:
Required Qualifications:
Desired Qualifications:
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.
At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Sample Riot Games interview questions
- 1
Create a real-time data feed for stock prices.
system designmedium - 2
Buildings with an Ocean View Find all buildings that have an ocean view. Input: heights = [1,2,3,4] Output: [3] Explanation: Since the ocean is to the right, only the rightmost tallest building (index 3) is not blocked by any others.
codingmedium - 3
Find the majority element in an array. Given an array of size n, find the majority element. The majority element is the element that appears more than ⌊n / 2⌋ times. You may assume that the majority element always exists in the array. Input: nums = [3, 2, 3] Output: 3 Explanation: The number 3 appears 2 times, which is strictly greater than n/2 (1.5).
codingmedium - 4
Dot Product of Two Sparse Vectors Calculate the dot product of two sparse vectors. Input: nums1 = [0,1,0,0,2], nums2 = [0,0,0,0,5] Output: 10 Explanation: Multiplies the aligned non-zero values (2 * 5) and ignores all the zeros, yielding a dot product of 10.
codingmedium - 5
Maximum Subarray Sum Find the maximum subarray sum in an integer array. Input: nums = [-3,-4,-1,-2] Output: -1 Explanation: Kadane's algorithm correctly identifies that the single isolated element -1 provides the highest possible sum.
codingmedium
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