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