AI-Ready Analytics Engineer: Data Foundation & Governance

Perplexity; New York (NY); On-site; USD 175,000 - 330,000; Full time

Job summary

Perplexity is looking for an analytics engineer or data engineer who will build the foundation for an AI-native data organization. You will design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company.

You will shape data modeling standards, lead governance, and ensure secure, privacy-aware data access and AI-enabled workflows.

Qualifications

• 6+ years in analytics or data engineering roles.

Responsibilities

• 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 - 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 data correctly.
• 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.
• Build with security and privacy in mind - partner with engineering, security, legal, and finance where needed to ensure data access, sharing, and AI-enabled workflows are appropriate and controlled.
• Automate data quality and maintenance - build AI-assisted workflows that detect issues, explain root causes, suggest fixes, generate tests, and reduce manual firefighting.
• Improve data team productivity - automate repetitive workflows, improve tooling, streamline development, and make it easier for data scientists and stakeholders to answer questions.
• Partner across the company - work closely with data scientists, engineering, product, finance, and GTM teams to translate analytical needs into durable data systems.
• Shape tooling decisions - evaluate build-versus-buy tradeoffs, manage vendor relationships when needed, and choose tools that scale with the team.

Skills

SQL expertise

Data modeling

Pipeline ownership

Warehouse management

Governance mindset

AI-assisted development

Stakeholder fluency

Autonomy and execution

Operational judgment

Experience: 6+ years

Tools

dbt

Snowflake

Databricks

Job description

Perplexity is looking for an analytics engineer or data engineer who will build the foundation for an AI-native data organization. You will design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company.

You will shape data modeling standards, lead governance, and ensure secure, privacy-aware data access and AI-enabled workflows.