Staff Data Engineer, Riot Games

• 6+ years of relevant experience developing scalable data systems
• Experience leading engineering teams and mentoring in Data Engineering best practices
• Experience setting the technical direction of projects
• Extensive experience designing standard data models & event-driven architecture
• Extensive experience modeling data to deliver business insights
• Experience developing solutions in Spark, SQL, and Airflow or equivalent data technologies
• Experience working with Python, Java or other equivalent programming languages
• Experience partnering with product and engineering teams to drive investment in and adoption of data focused solutions
• Experience with all aspects of the software development lifecycle from requirements gathering through deployment and continued operation
• Experience delivering on cloud computing technologies (AWS, Google, Azure)
• Experience working within the agile project management framework

Desirable

• As a Staff Data Engineer (Analytics) on the League Data Central team, you will shape the data architecture and systems that provide amazing experiences to millions of League of Legends and Teamfight Tactics players around the world
• This role is heavily centered on data modeling, architecture, and governance, with a strong emphasis on data warehousing and collaborative leadership
• You’ll have the opportunity to lead projects covering a wide variety of problems spaces including player facing features powered by machine learning, improving game design with data focused tooling, and partnering with our Insights teams to help us make key strategic decisions and drive future planning
• Design and lead the implementation of architectures that support advanced analytics, machine learning models, and real-time data processing, ensuring scalability and performance
• Develop complex data models that cater to both current and future needs focused on accessibility for large datasets
• Design and implement advanced ETL processes and data integration strategies to handle diverse data sources and formats
• Act as a liaison between our team and game teams as well as central platform teams to understand their needs and provide solutions
• Analyze existing systems for bottlenecks and inefficiencies, and implement solutions to optimize data flow and processing for high-volume, complex datasets
• Lead initiatives in data governance, data quality, and metadata management that ensure data accuracy, consistency, and security
• Explore and evaluate new technologies, tools, and data management practices to enhance the capabilities of the data platform
• Collaborate closely with data scientists and analysts, providing them with the data required for complex analytics, machine learning models, and data exploration
• Communicate complex data concepts and the value of data projects to stakeholders at all levels of the organization, influencing data-driven decision-making and strategy