Senior Manager, Data Engineering - Platform & Analytics

Scribd, Inc.; Miami (FL); On-site; USD 154,500 - 252,000; Full time

Benefits offered by this job

Flex work model

Health coverage

Paid time off

Parental leave

Equity

Job summary

Scribd, Inc. is seeking a Senior Manager of Data Engineering to lead a team delivering trusted data products and reusable data solutions that power analytics, experimentation, AI, and decision-making. You’ll guide architecture, review designs, and contribute hands-on where needed to maximize leverage.

You’ll mentor engineers, establish standards, and partner with Product, Analytics, Data Science, and other teams to ensure scalable, well-governed data foundations across Scribd’s platforms.

Qualifications

• 10+ years of experience in Data Engineering, Data Platform, or related data roles.
• 3+ years leading engineering teams, including coaching and performance management.
• Strong track record 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, pipelines, reliability, and observability.
• Drive architecture discussions and design reviews for scalable data solutions.
• Lead multiple initiatives, clarify ambiguous problems, and deliver in a timely manner.
• Coach and grow a team of Data Engineers with a culture of ownership.
• Partner with Product, Analytics, Data Science, and Engineering teams to translate business needs into data solutions.
• Build cross-functional relationships balancing delivery with long-term data foundations.
• Collaborate with Data Platform Engineering to evolve platform capabilities.

Skills

Data Engineering

Team Leadership

Data Modeling

SQL

Python/Scala

Spark

Databricks

Cloud Platforms

Cross-functional Collaboration

Data Governance

Tools

Databricks

Delta Lake

Snowflake

BigQuery

Job description

Scribd, Inc. is seeking a Senior Manager of Data Engineering to lead a team delivering trusted data products and reusable data solutions that power analytics, experimentation, AI, and decision-making. You’ll guide architecture, review designs, and contribute hands-on where needed to maximize leverage.

You’ll mentor engineers, establish standards, and partner with Product, Analytics, Data Science, and other teams to ensure scalable, well-governed data foundations across Scribd’s platforms.