Member of Data Staff (Analytics Engineer)

Job summary

Responsibilities

Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI.

• Build the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable.
• Manage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly.
• Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's…
• Own data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes.
• Lead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse.

What they're looking for

• 6+ years of experience as an analytics engineer, data engineer, data scientist, or closely related role.
• Deep SQL expertise - you can reason about correctness, performance, joins, grain, and edge cases in complex warehouse queries.
• Strong data modeling experience - you've worked hands-on with dbt (or a similar transformation framework) in production, and you understand dimensional modeling, data contracts…
• Pipeline ownership - you've built, maintained, debugged, and improved production data pipelines.
• Warehouse management experience - you've worked with warehouse administration, access patterns, permissions, performance tuning, cost management, or operational ownership.

Tech stack

• dbt
• SQL
• Snowflake
• Databricks
• Python