Member of Data Staff (Analytics Engineer)
Core
Design and maintain high-quality data models, pipelines, semantic layers, and governance practices to build a reliable, AI-readable data foundation for the entire company.
Role type
Senior Analytics Engineer (Data Foundation & Governance)
Builds
Production data models, marts, pipelines, semantic layers, and data quality systems
Domain
AI-native data organization, data engineering, data governance
Deliverable
production ML models
Required skills
SQL, dimensional modeling, dbt, data pipeline ownership, warehouse administration, data governance, AI-assisted development, stakeholder fluency
Preferred skills
Snowflake administration, RBAC/PII handling, Databricks, semantic layer construction, Python for automation
Technologies
dbt, Snowflake, Databricks, Python (via careerplan.io/jobs/71abd198-5a69-4837-aa59-df8eeb9e02eb-member-of-data-staff-analytics-engineer-at-perplexity)
Responsibilities
Design and maintain high-quality data models and pipelines; manage warehouse architecture and performance; create AI-readable documentation and metadata; define data modeling and governance standards; automate data quality and maintenance workflows; partner with cross-functional teams to translate needs into data systems.
Seniority
Senior, hands-on IC