Senior Data Engineering Leader, Platform & Data Products

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

Benefits offered by this job

Scribd Flex

Health coverage

Mental health support

Paid time off

Parental leave

Retirement matching

Learning & development

Wellness stipend

Scribd product access

AI tools access

Job summary

Scribd, Inc. is seeking a Senior Manager, Data Engineering to lead a team building trusted, reusable data products that power analytics, experimentation, AI, and decision-making across Scribd.

You will guide architecture, review designs, and contribute hands-on where impact is greatest, partnering with stakeholders to deliver high-quality data foundations. You will establish engineering standards, mentor engineers, and drive cross-functional initiatives—from concept to production—while balancing

Qualifications

• 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.

Responsibilities

• Provide technical, delivery, and people leadership for the Data Engineering team responsible for building data pipelines, trusted Medallion datasets, and reusable data products.
• 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.
• Build strong cross-functional relationships while balancing short-term delivery with long-term investments in reusable data foundations.
• Collaborate closely with Data Platform Engineering to influence and evolve the platform capabilities that enable scalable data development across Scribd.

Skills

Data engineering

Data platform leadership

Big data pipelines

SQL

Python/Scala

Spark

Cloud data platforms (Databricks/Delta

Cross-functional leadership

Architecture reviews

Technical communication

Job description

Scribd, Inc. is seeking a Senior Manager, Data Engineering to lead a team building trusted, reusable data products that power analytics, experimentation, AI, and decision-making across Scribd.

You will guide architecture, review designs, and contribute hands-on where impact is greatest, partnering with stakeholders to deliver high-quality data foundations. You will establish engineering standards, mentor engineers, and drive cross-functional initiatives—from concept to production—while balancing