Senior Manager, Data Engineering
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Key skills for this role
About the Role
Scribd is seeking a Senior Manager, Data Engineering to lead a team building trusted data products. You will drive architecture, engineering standards, and cross-functional initiatives while coaching engineers.
Key Skills for This Role
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
- Lead execution across multiple concurrent initiatives
- Coach, mentor, and grow a team of Data Engineers
- 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
- Collaborate closely with Data Platform Engineering to influence and evolve platform capabilities
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
- Excellent communication skills and experience influencing technical decisions across multiple engineering teams
Full Job Posting
About the Team
- Scribd’s Data Platform team builds data pipelines, storage layers, and developer tooling for analytics, experimentation, ML, and product features.
- The team is modernizing data architecture with a focus on well modeled, governed, and trusted data.
About the Role
- As a Senior Manager, Data Engineering, you'll lead a team building trusted, reusable data products.
- This role combines technical leadership, engineering management, and execution leadership.
What You’ll Do
- 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.
- Lead execution across multiple concurrent initiatives.
- Coach, mentor, and grow a team of Data Engineers.
- Partner closely with Product, Analytics, Data Science, and Engineering teams.
- Build strong cross functional relationships.
- Collaborate closely with Data Platform Engineering.
You Have
- 10+ years of experience in Data Engineering, Data Platform, or related data roles.
- 3+ years leading engineering teams.
- 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 with modern cloud data platforms such as Databricks, Delta Lake, Snowflake, or BigQuery.
- Proven experience driving complex cross functional initiatives.
- Experience leading technical architecture discussions and engineering design reviews.
- Excellent communication skills.
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.
- Experience in subscription, payments, or consumer product domains.
Compensation
- In California: $187,000 $265,000 per year.
- In US outside California: $154,500 $252,000 per year.
- In Canada: $165,000 $248,000 CAD per year.
- Eligible for competitive equity ownership and comprehensive benefits.
Working at Scribd, Inc.
- Scribd Flex (flexible work model) with occasional in person attendance required.
- Employees must have primary residence in or near specified cities in US, Canada, or Mexico.
Benefits
- 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.
- Retirement matching and employee equity.
- Learning and development programs.
- Wellness and home office stipends.
- Complimentary access to Scribd, Inc. suite of products.
- Enterprise access to leading AI tools.
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