Lead payments analytics engineering at Scribd, using advanced SQL and Databricks to build trusted, production-quality data foundations across products.This senior-most technical leadership role supports payments, billing, subscriptions, identity, and Trust & Safety. You will define canonical models, semantic layers, and reliable metrics across Scribd, Everand, and Fable. The work partners closely with Product Analytics, Data Science, Product, and Engineering.Key Responsibilities: Own canonical payments, billing, and subscription models in DatabricksDefine KPI and semantic layers for payments and identityExtend governed models and metrics to Trust & SafetyDrive data quality, observability, lineage, and root-cause analysisBuild AI tools grounded in certified metrics and tablesRequirements: Eight or more years in analytics or data engineeringDeep hands-on expertise with payments processor dataPractical experience with identity and authentication dataAdvanced SQL and production Databricks experienceAbility to influence senior product and engineering leadersBring payments expertise, advanced SQL, and governed modeling to Scribd’s trusted analytics engineering foundations.#J-18808-Ljbffr

📌 Lead Payments Analytics Engineer (Toronto)
🏢 Scribd
📍 Toronto