Scribd
Senior Manager, Data Engineering
San Francisco · Senior · Contract
Sponsorship not specifiedDetected 19 days ago
PythonScalaSQLSnowflakeDatabricksPlatform EngineeringMachine LearningData EngineeringData ScienceA/B TestingPerformance ManagementLeadershipCommunicationCollaborationMentoring
About the role
- This role combines technical leadership, engineering management, and execution leadership.
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.
- 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.
- Deep expertise building scalable data platforms and production-grade data pipelines.
- We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas.
- Come join us in building something meaningful.
Requirements
- Our four products - Scribd®, Slideshare®, Everand™, and Fable - help billions of people across the globe move beyond access and into insight, application, and expertise.
- 10+ years of experience in Data Engineering, Data Platform, or related data roles.
- 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.
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
- This posting reflects an approved, open position within the organization.
Compensation
- At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range.
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 and professional growth opportunities
- Wellness and home office stipends
- Scribd Flex (flexible work model)
Company info
- Scribd's Data Platform team builds the data pipelines, storage layers, and developer tooling that power analytics, experimentation, ML, and product features across Scribd, Everand, and Slideshare.
- We're in the middle of a multi-year investment to modernize our data architecture, with a strong focus on building well-modeled, governed, and trusted data that teams across the company can rely on.
- At Scribd, data drives everything-from product decisions and experimentation to understanding subscriber behavior and key business metrics.
- This role sits at the center of that effort and will play a critical part in shaping how data is structured, governed, and leveraged across the organization - including enabling trusted, well-governed data foundations for analytics and emerging AI-driven experiences.
This listing is sourced directly from Scribd's careers page and normalized into a canonical job model.