Principal Analytics Engineer AI-Native Self-Service Analytics

Scribd, Inc.; Los Angeles (CA); On-site; USD 179,000 - 265,000; Full time

Benefits offered by this job

Scribd Flex (flexible work model)

Health, dental & vision coverage

Paid time off & holidays

Equity ownership

Learning & development programs

Wellness & home office stipends

Job summary

Scribd, Inc. is seeking a Principal & Lead Analytics Engineer to scale AI-native data foundations and products. You will set modeling standards, guide governance, and partner with analytics, engineering, and business teams to move quickly with quality.

Ideal candidates bring 10+ years in analytics engineering, deep SQL, and experience building canonical data models and semantic layers for broad business use. This role offers a competitive salary and equity in a hybrid SF-area setup.

Qualifications

• 10+ years in analytics engineering or related field.
• Governed data models and semantic layers with authoritative definitions.
• Data quality, observability, governance, and lineage systems.
• Strong SQL skills and modern data stack experience.

Responsibilities

• Provide technical leadership across Analytics Engineering initiatives.
• Shape data modeling standards and development practices.
• Align investments to company priorities and senior stakeholders.
• Improve data quality, governance, and developer experience.
• Collaborate with product, engineering, and business teams.

Tools

AWS

Databricks

Airbyte

Fivetran

Looker

Job description

Scribd, Inc. is seeking a Principal & Lead Analytics Engineer to scale AI-native data foundations and products. You will set modeling standards, guide governance, and partner with analytics, engineering, and business teams to move quickly with quality.

Ideal candidates bring 10+ years in analytics engineering, deep SQL, and experience building canonical data models and semantic layers for broad business use. This role offers a competitive salary and equity in a hybrid SF-area setup.