Staff Data Engineer - League of Legends Data Platform

Riot Games; Los Angeles (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Life insurance

401k with company match

Parental leave

Job summary

Riot Games is seeking a Staff Data Engineer for the League of Legends Data Engineering team in Los Angeles. You will design scalable data architectures, champion data standards, and enable analytics and ML at scale.

Collaboration with product managers, analysts, and engineers will ensure reliable data for player experiences. You will lead governance, data quality, and metadata programs, while exploring new tools and techniques to enhance the data platform.

Qualifications

• 6+ years of experience building scalable data systems
• Experience mentoring in Data Engineering best practices
• Experience setting technical direction for projects
• Experience designing standard data models and event-driven architectures
• Strong track record delivering data models that drive business insights
• Proficiency with DBT, Spark, SQL, Airflow and Python

Responsibilities

• Design and lead architectures for advanced analytics and ML models
• Develop scalable data models to handle large and growing data volumes
• Design ETL processes and data integration strategies
• Liaise with product and central platform teams to understand needs
• Identify bottlenecks and optimize data flow in high-volume datasets
• Lead data governance, quality, and metadata management initiatives
• Evaluate new technologies to enhance the data platform
• Collaborate with ML engineers and analysts to provide data assets
• Communicate complex data concepts to stakeholders to drive decisions
• Provide on-call support for production data systems

Skills

DBT

Spark

SQL

Airflow

Python

AWS

Job description

Riot Games is seeking a Staff Data Engineer for the League of Legends Data Engineering team in Los Angeles. You will design scalable data architectures, champion data standards, and enable analytics and ML at scale.

Collaboration with product managers, analysts, and engineers will ensure reliable data for player experiences. You will lead governance, data quality, and metadata programs, while exploring new tools and techniques to enhance the data platform.