Senior Manager of Data Engineering, Scribd

• 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

Desirable

• Scribd, Inc.'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, Inc., 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
• As a Senior Manager, Data Engineering, you'll lead a team responsible for building trusted, reusable data products that power analytics, experimentation, AI, and decision-making across Scribd, Inc
• This role combines technical leadership, engineering management, and execution leadership. You'll remain close to the technical work by guiding architecture, reviewing designs, and contributing hands-on where your expertise creates the greatest leverage
• You'll establish engineering standards, guide architecture and design decisions, partner closely with stakeholders across the business, and help build a high-performing team that delivers trusted, reusable data products
• You'll work closely with our Principal Data Engineer, who leads the technical direction of our Platform Engineering function, while partnering with the Director of Data Platform on long-term strategy, organizational planning, and cross-functional priorities
• 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