Data Platform Manager: Trusted Pipelines & Analytics

Scribd, Inc.; Denver (CO); 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

Retirement matching

Learning and development programs

Job summary

Scribd, Inc. is seeking a Senior Manager, Data Engineering to lead and develop a team that builds trusted, reusable data products for analytics and decision-making.

The candidate should have over 10 years of experience, including 3+ years of leadership. Strong expertise in data platforms and programming skills in Python and SQL are essential. The role combines technical leadership with execution management, aiming to create a high-performing team and reliable data architecture.

Qualifications

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

Responsibilities

• Provide technical, delivery, and people leadership for the Data Engineering team.
• Establish engineering standards for data modeling and pipeline design.
• Drive architecture discussions and design reviews.

Skills

Data Engineering

Technical leadership

Python

SQL

Data architecture

Distributed data processing

Communication skills

Education

10+ years of experience in Data Engineering or related roles

3+ years leading engineering teams

Tools

Spark

Databricks

Delta Lake

Snowflake

BigQuery

Job description

Scribd, Inc. is seeking a Senior Manager, Data Engineering to lead and develop a team that builds trusted, reusable data products for analytics and decision-making.

The candidate should have over 10 years of experience, including 3+ years of leadership. Strong expertise in data platforms and programming skills in Python and SQL are essential. The role combines technical leadership with execution management, aiming to create a high-performing team and reliable data architecture.