Senior Data Engineering Leader - Trusted Data Platform

Scribd, Inc.; Washington (District of Columbia); On-site; USD 154,500 - 252,000; Full time

Benefits offered by this job

Flexible work model

Comprehensive health, dental, and vision coverage

Mental health support

Generous paid time off

Paid parental leave

Retirement matching

Learning and development programs

Wellness stipends

Complimentary access to Scribd products

Job summary

Scribd, Inc. is seeking a Senior Manager, Data Engineering to lead a team focused on building trusted and reusable data products that drive analytics and decision-making. This role requires a mix of technical leadership and management, guiding architecture and fostering team growth.

The ideal candidate will have over 10 years in Data Engineering and 3+ years in leadership roles. Strong experience with SQL, Python, and scaling data platforms is a must. This 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 in building scalable data platforms and data pipelines.

Responsibilities

• Lead a team responsible for building trusted, reusable data products.
• Establish engineering standards for data modeling and pipeline design.
• Coach and mentor a team of Data Engineers.

Skills

Data Engineering

Data Platform

People Leadership

Technical Leadership

SQL

Python

Dimensional Modeling

Data Architecture

Apache Spark

Cloud Data Platforms

Job description

Scribd, Inc. is seeking a Senior Manager, Data Engineering to lead a team focused on building trusted and reusable data products that drive analytics and decision-making. This role requires a mix of technical leadership and management, guiding architecture and fostering team growth.

The ideal candidate will have over 10 years in Data Engineering and 3+ years in leadership roles. Strong experience with SQL, Python, and scaling data platforms is a must. This position offers a flexible work model and comprehensive benefits.