Data Platform Manager: Trusted Pipelines & Analytics

Scribd, Inc.; Seattle (WA); Hybrid; USD 154,500 - 252,000; Full time

Benefits offered by this job

Flexible work model

Comprehensive health, dental, and vision coverage

Generous paid time off

Learning and development programs

Job summary

Scribd, Inc. is seeking a Senior Manager, Data Engineering to lead a team responsible for building trusted, reusable data products that support analytics and decision-making. You will guide architecture, establish engineering standards, and partner with multiple stakeholders across the company.

This role is suited for individuals with over 10 years of experience in Data Engineering, strong technical judgment, and proven experience in leading engineering teams. The position offers a flexible work model and comprehensive benefits.

Qualifications

• 10+ years of experience in Data Engineering, Data Platform, or related data roles.
• 3+ years leading engineering teams, including coaching and performance management.
• Deep expertise building scalable data platforms and production-grade data pipelines.

Responsibilities

• Provide technical leadership for the Data Engineering team responsible for building data pipelines.
• Establish engineering standards for data modeling and pipeline design.
• Drive architecture discussions and lead execution across multiple initiatives.

Skills

Data Engineering

Technical leadership

SQL

Python/Scala

Cloud data platforms

Data architecture

Team management

Education

10+ years of experience in Data Engineering

3+ years of leading engineering teams

Tools

Databricks

Spark

Delta Lake

Snowflake

BigQuery

Job description

Scribd, Inc. is seeking a Senior Manager, Data Engineering to lead a team responsible for building trusted, reusable data products that support analytics and decision-making. You will guide architecture, establish engineering standards, and partner with multiple stakeholders across the company.

This role is suited for individuals with over 10 years of experience in Data Engineering, strong technical judgment, and proven experience in leading engineering teams. The position offers a flexible work model and comprehensive benefits.