Principal Data Engineer, Personalization - Central Product Insights
Riot Games is hiring a Principal Data Engineer, Personalization - Central Product Insights in Los Angeles, United States. Level rates it ; you can apply on Riot Games.
Level's read on this job
- Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
- Tools and skills the posting cites include Databricks, ETL and data modeling.
- Level classifies it as a senior role.
- Level lists 183 other open roles at Riot Games.
AI in this role
Design and maintain scalable data pipelines and centralized data models to support player insights and publishing activity data systems.
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 Principal Data Engineer supporting Riot’s Central Product Insights, you will design, build, and maintain scalable data pipelines and models that power critical data products, including centralized player data models, and publishing activity data systems. These systems support understanding of player onboarding funnels, engagement patterns, support efficiency, and content effectiveness. You will collaborate with product managers, analysts, and engineers to ensure our data infrastructure is reliable, performant, and directly tied to delivering better player experiences.
Responsibilities:
- Design, build, and optimize scalable ETL pipelines for structured and semi-structured data supporting Insights use cases, growth metrics, and other publishing/marketing focused data sets.
- Design and implement data models using industry best practices that capture a complete ecosystem view of in- and out-of-game experiences, while ensuring accuracy, scalability, and long-term usability.
- Architect and implement robust, maintainable, and high-performance data solutions.
- Automate workflows to reduce manual intervention and enhance data processing efficiency, including automation for content, growth, and pubsports areas of coverage.
- Mentor data engineers across all levels, setting best practices and fostering technical growth.
- Optimize query performance and resolve pipeline bottlenecks to improve data accessibility.
- Evaluate and adopt new tools, frameworks, and methodologies to advance data engineering capabilities.
- Support cost optimization by ensuring scalable and efficient data solutions.
- Ensure data quality, governance, and compliance with regulatory standards (e.g., GDPR, CCPA).
- Contribute to Riot’s Data Engineering discipline shaping infrastructure, craft standards, tooling, and organizational best practices
Required Qualifications:
- Bachelor's or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
- 8+ years experience in tech-focused Publishing or Marketing fields.
- 8+ years experience in data engineering or a related field.
- Strong Expertise in big-data technologies, including Python, GoLang, Spark, Scala, SQL, and tools like Airflow and dbt.
- Proficiency in cloud infrastructure (AWS or GCP) and Databricks.
- Expertise in designing efficient and scalable data models with large data sets across multiple teams and in collaboration with insights or data stakeholders.
- Demonstrated ability to work cross-functionally with engineering, analytics, and product teams.
- Proven experience mentoring and guiding other engineers.
Desired Qualifications:
- Experience in gaming, large consumer platforms, or systems leading data modernization or transformation initiatives in a complex environment
- Track record improving data maturity ( e.g. SLI’s/SLO governance, reliability standards) Experience designing semantic layers or standardized business metric frameworks
- Background supporting advanced analytics use cases in high velocity product environments
- Demonstrated ability to influence standards across teams in a matrixed organization
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:
- Safeguarding confidential and sensitive Company data
- Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
- Accessing Company assets, secure digital systems, and networks
- Ensuring a safe interactive environment for players and other Rioters
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.
How we rate this
Principal Data Engineer, Personalization - Central Product Insights at Riot Games rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data engineer job
- $146k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where pipeline optimization was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- What's a project where you used Databricks hands-on?
- Walk me through how you've used ETL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Modeling, Pipeline Optimization, Data Governance, Databricks, and ETL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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