The TeamData & Analytics is building the DNA of an AI native Scribd, Inc. Bringing together Analytics Engineering, Data Science, and Data Analytics, D&A partners across product, technology, content, and the business to scale intelligence, advance understanding, shape strategy, and turn insight into lasting growth across our four brand portfolio.
Making this ambition real at scale starts with Analytics Engineering. The team transforms fragmented data, inconsistent definitions, and dispersed analytical knowledge into trusted, reusable, production quality data foundations and products that enable intelligence to scale across the company.
In partnership with Engineering, Analytics Engineers ensure critical data is captured, centralized, documented, secured, and governed. The team builds canonical datasets, shared metrics, and semantic layers, together with the quality, observability, lineage, and evaluation systems that make these assets trustworthy. On top of this foundation, Analytics Engineers develop AI agents and analytical tools that bring reliable intelligence directly into the decisions and workflows of teams across the company.
The RoleWe're hiring for a Principal/Lead Analytics Engineer to scale data for an AI native Scribd, Inc. In this role, you will shape the technical foundations, modeling standards, and development practices that allow Analytics Engineering to move faster with greater confidence. You will operate as a senior individual contributor, deeply connected to the work, trusted for your judgment, and able to raise the quality of systems, decisions, and execution across teams.
Your impact will come through technical leadership. Your strong strategic judgment is paired with enough proximity to the work to guide technical decisions credibly. You will connect Analytics Engineering investments to company priorities, communicate tradeoffs clearly to senior leaders, and contribute thoughtfully to decisions about data modeling, architecture, governance, quality, tooling, and developer experience.
Your pragmatic approach keeps the organization moving forward. Rather than waiting for an ideal end state, you will think in sequences and ask, "What is the right next version?" Communication happens early and often because transparency, thoughtful feedback, and visible decision making build trust and help teams move with confidence.
The transformation happening through AI is an opportunity to expand what talented teams can accomplish. Agentic coding, AI assisted development and analysis, and automated workflows can increase human judgment, creativity, and impact rather than replace them. You approach these technologies with curiosity and pragmatism, applying them where they create clear and measurable value.
Above all, this role is about strengthening the discipline of Analytics Engineering. Success is reflected in data systems that are more reliable, understandable, scalable, and useful, and in teams that become more capable because of your technical leadership.
The Essentials- 10/8+ years of experience in analytics engineering, data engineering, business intelligence engineering or a related discipline
- Depth in building governed, canonical data models and semantic layers, giving core business concepts one authoritative, discoverable definition instead of letting teams reconcile competing sources
- Experience designing the data quality, observability, documentation, governance, access control, privacy, lineage, and evaluation systems that ensure data and AI products are reliable, explainable, trustworthy, and safe to operate at scale
- Experience designing and building canonical data models and semantic layers that support self-serve analytics at scale for Finance, Legal, Operations, Marketing, Research, and other business teams.
- Advanced SQL skills and production experience with modern data stack, including AWS, Databricks, Airbyte, Fivetran, Looker, or comparable platforms
- Demonstrated ability to lead cross functional data initiatives from strategy through production adoption and measurable business impact
- Strong judgment in balancing immediate stakeholder needs with long term investments in reusable data products, platform health, and technical debt reduction
- Excellent written and verbal communication with technical teams, business stakeholders, and senior executives
The Nice to Haves- Advanced Python
- Experience leading data cleanup efforts and implementing role based access controls and data retention policies to improve data quality, security, and governance
- Experience leading on call rotations, coordinating incident response, resolving production issues, and driving follow up improvements that strengthen system reliability
At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States.
In the state of California, the reasonably expected salary range is between $179,000 [minimum salary in our lowest geographic market within California] to $253,500 [maximum salary in our highest geographic market within California].
In the United States, outside of California, the reasonably expected salary range is between $149,000 [minimum salary in our lowest US geographic market outside of California] to $240,500 [maximum salary in our highest US geographic market outside of California].
In Canada, the reasonably expected salary range is between $178,000 CAD[minimum salary in our lowest geographic market] to $227,000 CAD[maximum salary in our highest geographic market].
We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.
Are you currently based in a location where Scribd, Inc. can employ you? Employees 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:
United States: Atlanta | 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.
Canada: Ottawa | Toronto | Vancouver
Mexico: Mexico City
Benefits at Scribd, Inc.- Scribd Flex (flexible work model)
- 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
- Complimentary access to the Scribd, Inc. suite of products
- Enterprise access to leading AI tools
