{"schemaVersion":"jobsearcher.job.v1","id":"55c2fdf0dbb2051ac283a866","url":"https://jobsearcher.com/jobs/55c2fdf0dbb2051ac283a866","canonicalUrl":"https://jobsearcher.com/jobs/55c2fdf0dbb2051ac283a866","title":"Senior Manager, Data Engineering","description":"Culture at Scribd, Inc.\nScribd, Inc. is on a mission to advance human understanding. Our four products — Scribd®, Slideshare®, Everand™, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise.\n\nWe support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.\n\nWe believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in‑person moments that strengthen collaboration and culture. Occasional in‑person attendance is required for all Scribd, Inc. employees, regardless of location.\n\nSo what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long‑term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude.\n\nAbout The Team\nScribd’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.\n\nAt 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.\n\nAbout The Role\nAs 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.\n\nThis 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.\n\nYou’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.\n\nWhat You’ll Do\n\nProvide technical, delivery, and people leadership for the Data Engineering team responsible for building data pipelines, trusted Medallion datasets, and reusable data products.\n\nEstablish engineering standards for data modeling, pipeline design, reliability, observability, and operational excellence.\n\nDrive architecture discussions and design reviews, helping engineers make thoughtful technical decisions.\n\nLead execution across multiple concurrent initiatives by bringing clarity to ambiguous problems, partnering with technical leads to prioritize work, manage dependencies, and deliver predictable outcomes.\n\nCoach, mentor, and grow a team of Data Engineers, fostering a culture of ownership, collaboration, and continuous improvement.\n\nPartner closely with Product, Analytics, Data Science, and Engineering teams to translate business needs into scalable data solutions.\n\nBuild strong cross‑functional relationships while balancing short‑term delivery with long‑term investments in reusable data foundations.\n\nCollaborate closely with Data Platform Engineering to influence and evolve the platform capabilities that enable scalable data development across Scribd.\n\nYou Have\n\n10+ years of experience in Data Engineering, Data Platform, or related data roles.\n\n3+ years leading engineering teams, including coaching, performance management, and organizational development.\n\nDeep expertise building scalable data platforms and production‑grade data pipelines.\n\nStrong experience with dimensional modeling, data architecture, and designing reusable analytical datasets.\n\nAdvanced SQL skills and strong experience with Python, Scala, or similar programming languages.\n\nExperience with distributed data processing frameworks such as Spark.\n\nExperience working with modern cloud data platforms such as Databricks, Delta Lake, Snowflake, or BigQuery.\n\nProven experience driving complex cross‑functional initiatives from concept through production.\n\nExperience leading technical architecture discussions and engineering design reviews.\n\nStrong technical judgment and the ability to balance pragmatic delivery with long‑term architectural thinking.\n\nExcellent communication skills and experience influencing technical decisions across multiple engineering teams.\n\nPreferred Skills\n\nExperience with Databricks and Delta Lake.\n\nExperience building modern data platforms and Medallion‑style architectures.\n\nExperience with data governance, lineage, or metadata management.\n\nExperience supporting AI, ML, or analytics workloads through high‑quality data foundations.\n\nExperience working in subscription, payments, or consumer product domains.\n\nWorking at Scribd, Inc.\nIn the state of California, the reasonably expected salary range is between $187,000 and $265,000. In the United States, outside of California, the range is between $154,500 and $252,000. In Canada, the range is between $165,000 CAD and $248,000 CAD. This position is eligible for competitive equity ownership and a comprehensive and generous benefits package.\n\nEmployees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:\n\nUnited States\nAtlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C.\n\nCanada\nOttawa | Toronto | Vancouver\n\nMexico\nMexico City\n\nBenefits at Scribd, Inc.\n\nScribd Flex (flexible work model)\n\nComprehensive health, dental, and vision coverage\n\nMental health support and disability coverage\n\nGenerous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals\n\nPaid parental leave and family support benefits\n\nRetirement matching and employee equity\n\nLearning and development programs and professional growth opportunities\n\nWellness and home office stipends\n\nComplimentary access to the Scribd, Inc. suite of products\n\nEnterprise access to leading AI tools\n\nWe want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.\n\nIf you apply for a job with Scribd or otherwise engage with us in connection with employment (including as an employee, contractor, or other personnel), the personal information we process in that context is subject to our Employee and Applicant Privacy Policy, which is available here.\n\nScribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. 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.\n\n#J-18808-Ljbffr","company":"Scribd","rawCompany":"scribd","city":"Doral","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-07-16T03:59:48.057Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Manager, Data Engineering","description":"Culture at Scribd, Inc.\nScribd, Inc. is on a mission to advance human understanding. Our four products — Scribd®, Slideshare®, Everand™, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise.\n\nWe support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.\n\nWe believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in‑person moments that strengthen collaboration and culture. Occasional in‑person attendance is required for all Scribd, Inc. employees, regardless of location.\n\nSo what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long‑term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude.\n\nAbout The Team\nScribd’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.\n\nAt 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.\n\nAbout The Role\nAs 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.\n\nThis 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.\n\nYou’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.\n\nWhat You’ll Do\n\nProvide technical, delivery, and people leadership for the Data Engineering team responsible for building data pipelines, trusted Medallion datasets, and reusable data products.\n\nEstablish engineering standards for data modeling, pipeline design, reliability, observability, and operational excellence.\n\nDrive architecture discussions and design reviews, helping engineers make thoughtful technical decisions.\n\nLead execution across multiple concurrent initiatives by bringing clarity to ambiguous problems, partnering with technical leads to prioritize work, manage dependencies, and deliver predictable outcomes.\n\nCoach, mentor, and grow a team of Data Engineers, fostering a culture of ownership, collaboration, and continuous improvement.\n\nPartner closely with Product, Analytics, Data Science, and Engineering teams to translate business needs into scalable data solutions.\n\nBuild strong cross‑functional relationships while balancing short‑term delivery with long‑term investments in reusable data foundations.\n\nCollaborate closely with Data Platform Engineering to influence and evolve the platform capabilities that enable scalable data development across Scribd.\n\nYou Have\n\n10+ years of experience in Data Engineering, Data Platform, or related data roles.\n\n3+ years leading engineering teams, including coaching, performance management, and organizational development.\n\nDeep expertise building scalable data platforms and production‑grade data pipelines.\n\nStrong experience with dimensional modeling, data architecture, and designing reusable analytical datasets.\n\nAdvanced SQL skills and strong experience with Python, Scala, or similar programming languages.\n\nExperience with distributed data processing frameworks such as Spark.\n\nExperience working with modern cloud data platforms such as Databricks, Delta Lake, Snowflake, or BigQuery.\n\nProven experience driving complex cross‑functional initiatives from concept through production.\n\nExperience leading technical architecture discussions and engineering design reviews.\n\nStrong technical judgment and the ability to balance pragmatic delivery with long‑term architectural thinking.\n\nExcellent communication skills and experience influencing technical decisions across multiple engineering teams.\n\nPreferred Skills\n\nExperience with Databricks and Delta Lake.\n\nExperience building modern data platforms and Medallion‑style architectures.\n\nExperience with data governance, lineage, or metadata management.\n\nExperience supporting AI, ML, or analytics workloads through high‑quality data foundations.\n\nExperience working in subscription, payments, or consumer product domains.\n\nWorking at Scribd, Inc.\nIn the state of California, the reasonably expected salary range is between $187,000 and $265,000. In the United States, outside of California, the range is between $154,500 and $252,000. In Canada, the range is between $165,000 CAD and $248,000 CAD. This position is eligible for competitive equity ownership and a comprehensive and generous benefits package.\n\nEmployees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:\n\nUnited States\nAtlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C.\n\nCanada\nOttawa | Toronto | Vancouver\n\nMexico\nMexico City\n\nBenefits at Scribd, Inc.\n\nScribd Flex (flexible work model)\n\nComprehensive health, dental, and vision coverage\n\nMental health support and disability coverage\n\nGenerous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals\n\nPaid parental leave and family support benefits\n\nRetirement matching and employee equity\n\nLearning and development programs and professional growth opportunities\n\nWellness and home office stipends\n\nComplimentary access to the Scribd, Inc. suite of products\n\nEnterprise access to leading AI tools\n\nWe want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.\n\nIf you apply for a job with Scribd or otherwise engage with us in connection with employment (including as an employee, contractor, or other personnel), the personal information we process in that context is subject to our Employee and Applicant Privacy Policy, which is available here.\n\nScribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. 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.\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:59:48.057Z","dateModified":"2026-07-16T03:59:48.057Z","hiringOrganization":{"@type":"Organization","name":"Scribd","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Doral","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"55c2fdf0dbb2051ac283a866"},"url":"https://jobsearcher.com/jobs/55c2fdf0dbb2051ac283a866"}}