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 Databricks

Define KPI and semantic layers for payments and identity

Extend governed models and metrics to Trust & Safety

Drive data quality, observability, lineage, and root-cause analysis

Build AI tools grounded in certified metrics and tables

Requirements: Eight or more years in analytics or data engineering

Deep hands-on expertise with payments processor data

Practical experience with identity and authentication data

Advanced SQL and production Databricks experience

Ability to influence senior product and engineering leaders

Bring payments expertise, advanced SQL, and governed modeling to Scribd’s trusted analytics engineering foundations.

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