Data Platform Manager: Trusted Pipelines & Analytics

Scribd, Inc.; Boston (MA); 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 and employee equity

Learning and development programs

Job summary

Scribd, Inc. is looking for a Senior Manager, Data Engineering in Boston to lead a team focused on building trusted, reusable data products that power analytics, AI, and decision making. You will be involved in technical leadership and execution leadership, guiding architecture and contributing hands-on to projects.

The ideal candidate has significant experience in Data Engineering, strong management skills, and the ability to translate business needs into effective data solutions. Additional responsibilities include mentoring Data Engineers and collaborating with other teams to build strong cross-functional relationships.

Qualifications

• 10+ years of experience in Data Engineering or related roles.
• Experience leading engineering teams and managing performance.
• Deep expertise in building scalable data platforms.

Responsibilities

• Provide leadership for the Data Engineering team responsible for building data pipelines.
• Establish engineering standards for data modeling and pipeline design.
• Drive architecture discussions and design reviews to make thoughtful technical decisions.
• Manage multiple concurrent initiatives by prioritizing work.

Skills

Data Engineering

Team Leadership

Data Architecture

SQL

Python

Distributed Processing

Education

10+ years in Data Engineering

3+ years leading engineering teams

Tools

Databricks

Spark

Snowflake

Job description

Scribd, Inc. is looking for a Senior Manager, Data Engineering in Boston to lead a team focused on building trusted, reusable data products that power analytics, AI, and decision making. You will be involved in technical leadership and execution leadership, guiding architecture and contributing hands-on to projects.

The ideal candidate has significant experience in Data Engineering, strong management skills, and the ability to translate business needs into effective data solutions. Additional responsibilities include mentoring Data Engineers and collaborating with other teams to build strong cross-functional relationships.