Principal Analytics Engineer, AI Native Self Service Analytics

The role

You will shape technical foundations, modeling standards, and development practices for Analytics Engineering. You will act as a senior individual contributor providing technical leadership to scale data for an AI native company.

What you will do

• Shape technical foundations, modeling standards, and development practices
• Operate as a senior individual contributor
• Connect Analytics Engineering investments to company priorities
• Communicate tradeoffs to senior leaders
• Contribute to decisions about data modeling, architecture, governance, quality, tooling, and developer experience
• Lead cross functional data initiatives from strategy through production adoption

Required qualifications

• 10+ 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
• Experience designing data quality, observability, documentation, governance, access control, privacy, lineage, and evaluation systems
• Experience designing and building canonical data models and semantic layers that support self-serve analytics at scale
• Advanced SQL skills
• Production experience with modern data stack, including AWS, Databricks, Airbyte, Fivetran, Looker, or comparable platforms
• Demonstrated ability to lead cross functional data initiatives
• Strong judgment in balancing immediate stakeholder needs with long term investments

Nice to have

• Advanced Python
• Experience leading data cleanup efforts and implementing role based access controls and data retention policies
• Experience leading on call rotations, coordinating incident response, resolving production issues, and driving follow up improvements

Benefits

• 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

Before you apply

• Must be currently based in a location where Scribd, Inc. can employ you
• Primary residence must be in or near specific cities in the United States, Canada, or Mexico

About the company

Scribd, Inc. is on a mission to advance human understanding through products including Scribd, Slideshare, Everand, and Fable.