Senior Manager, Data Engineering

About the role

This role sits at the center of a multi-year investment to modernize Scribd's data architecture. It involves leading a team responsible for building data pipelines, trusted Medallion datasets, and reusable data products. The role combines technical leadership, engineering management, and execution leadership.

Responsibilities

• Provide technical, delivery, and people leadership for the Data Engineering team.
• Establish engineering standards for data modeling, pipeline design, reliability, observability, and operational excellence.
• Drive architecture discussions and design reviews, helping engineers make thoughtful technical decisions.
• Lead execution across multiple concurrent initiatives by bringing clarity to ambiguous problems, partnering with technical leads to prioritize work, manage dependencies, and deliver predictable outcomes.
• Coach, mentor, and grow a team of Data Engineers, fostering a culture of ownership, collaboration, and continuous improvement.
• Partner closely with Product, Analytics, Data Science, and Engineering teams to translate business needs into scalable data solutions.
• Collaborate closely with Data Platform Engineering to influence and evolve the platform capabilities that enable scalable data development across Scribd.

Requirements

• 10+ years of experience in Data Engineering, Data Platform, or related data roles.
• 3+ years leading engineering teams, including coaching, performance management, and organizational development.
• Deep expertise building scalable data platforms and production-grade data pipelines.
• Strong experience with dimensional modeling, data architecture, and designing reusable analytical datasets.
• Advanced SQL skills and strong experience with Python, Scala, or similar programming languages.
• Experience with distributed data processing frameworks such as Spark.
• Experience working with modern cloud data platforms such as Databricks, Delta Lake, Snowflake, or BigQuery.
• Proven experience driving complex cross-functional initiatives from concept through production.
• Experience leading technical architecture discussions and engineering design reviews.
• Strong technical judgment and the ability to balance pragmatic delivery with long-term architectural thinking.
• Excellent communication skills and experience influencing technical decisions across multiple engineering teams.

Preferred Skills

• Experience with Databricks and Delta Lake.
• Experience building modern data platforms and Medallion-style architectures.
• Experience with data governance, lineage, or metadata management.
• Experience supporting AI, ML, or analytics workloads through high-quality data foundations.
• Experience working in subscription, payments, or consumer product domains.

Benefits

At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. Benefits include:

• Comprehensive health, dental, and vision coverage
• Mental health support and disability coverage
• Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
• Paid parental leave and family support benefits
• Retail retirement matching and employee equity
• Learning and development programs and professional growth opportunities
• Wellness and home office stipends
• Complimentary access to the Scribd, Inc. suite of products
• Enterprise access to leading AI tools