Principal Data Engineer, Personalization - Central Product Insights
Core
Design, build, and maintain scalable data pipelines and models powering centralized player data models and publishing activity data systems to support player onboarding, engagement, and content effectiveness.
Role type
Principal Data Engineer (Central Product Insights)
Builds
Centralized player data models, publishing activity data systems, and scalable data infrastructure for player insights.
Domain
Gaming / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, GoLang, Spark, Scala, SQL, Airflow, dbt, AWS/GCP, Databricks, data modeling, ETL pipeline design, cross-functional collaboration, technical mentoring, query optimization, data governance
Preferred skills
Gaming industry experience, data modernization/transformation, semantic layer design, SLI/SLO governance, advanced analytics in high-velocity environments
Technologies
Python, GoLang, Spark, Scala, SQL, Airflow, dbt, AWS, GCP, Databricks
Responsibilities
Design and optimize scalable ETL pipelines for structured and semi-structured data; Architect and implement robust, high-performance data solutions; Automate workflows for content, growth, and pubsports areas; Mentor data engineers across all levels; Optimize query performance and resolve pipeline bottlenecks; Ensure data quality, governance, and compliance with regulatory standards.
Seniority
Principal, hands-on IC with mentorship
