Principal Data Engineer, Personalization - Central Product Insights
Role details
Job location
Tech stack
Job description
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., * 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
Requirements
- 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., * 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!