Senior Analytics Engineer — Payments, Identity & Trust

Scribd, Inc.; Denver (CO); On-site; USD 149,000 - 241,000; Full time

Benefits offered by this job

Scribd Flex

Health, dental, vision coverage

Paid time off

Parental leave

Equity

Learning programs

Wellness stipend

Access to Scribd suite

AI tools access

Job summary

Scribd, Inc. is hiring a senior analytics engineering leader to own canonical data models for payments, billing, and subscriptions, and to define the KPI/semantic layer used by self-serve dashboards and AI tools.

You will also own Trust & Safety metrics and ensure data quality, lineage, and observability across platforms. The role reports to the Director of Analytics Engineering and collaborates with product analytics, data science, product, and engineering teams to deliver robust, auditable

Qualifications

• 8+ years of experience in analytics engineering, data engineering, business intelligence engineering or a related discipline.
• Deep, hands‑on payments expertise: including direct experience with processor data from Stripe, Adyen, Braintree, PayPal, or similar.
• Practical experience with identity and authentication data.
• Depth in governed, canonical data models and semantic layers, and a track record of defining a metric, defending it under scrutiny, and versioning it when its inputs changed.
• Advanced SQL and production experience with Databricks, AWS, Looker, Airbyte, Fivetran, or comparable platforms, including orchestration, transformation frameworks, and automated testing.
• Experience making data reliable for AI consumption.
• Proven ability to influence senior product and engineering leaders and translate complex payment economics into clear business trade‑offs.

Responsibilities

• Own the canonical data models for payments, billing, and subscriptions in Databricks modeled once across Scribd, Everand, and Fable so a new market, or payment method doesn't require a rewrite.
• Own the KPI and semantic layer for payments and identity exposed through self‑serve dashboaring/AI tools.
• Extend the same discipline to Trust & Safety, owning the models and metrics behind prevalence and exposure, including evaluation of AI‑generated moderation labels.
• Drive quality, observability, and lineage so a regional login challenge rate change or processor routing change is caught in days, not quarters and root‑cause discontinuities to separate real customer or processor behavior from migration artifacts and data quality issues.
• Build AI tools on trusted foundations, grounded in certified metrics and tables, kept in sync as definitions change, and validated with evaluation sets that prove the answers are right.
• Raise the technical bar, set modeling and metric conventions, influence source‑system changes before they land, and mentor analysts and analytics engineers in these domains.

Skills

Payments expertise

Identity data

Canonical data models

Advanced SQL

Databricks

Data quality

Influence leadership

Tools

Databricks

AWS

Looker

Airbyte

Fivetran

Python

Job description

Scribd, Inc. is hiring a senior analytics engineering leader to own canonical data models for payments, billing, and subscriptions, and to define the KPI/semantic layer used by self-serve dashboards and AI tools.

You will also own Trust & Safety metrics and ensure data quality, lineage, and observability across platforms. The role reports to the Director of Analytics Engineering and collaborates with product analytics, data science, product, and engineering teams to deliver robust, auditable