Principal Data Platform Engineer (Analytics & Insights)

crewAI, Inc.; San Francisco (CA); On-site; USD 140,000 - 230,000; Full time

Job summary

CrewAI is seeking its first dedicated data engineer to own the data foundation end-to-end, rationalize what exists, and make data accessible for product, growth, engineering, and leadership.

The role centers on data infrastructure, pipelines, semantic modeling, metric definitions, data quality, and self-serve analytics, turning messy questions into clear analyses and informed product decisions.

Qualifications

• Strong data engineering or analytics engineering experience in product companies.
• Excellent SQL and data modeling skills with reliable datasets.
• Experience with analytics warehouses like Redshift, Snowflake, BigQuery, or Postgres.
• Familiarity with dbt, Cube, semantic layers, or equivalent systems.
• Experience with event pipelines, product telemetry, application data, and BI tools such as Metabase, Looker, Mode, or similar.
• Strong Python for data work, automation, validation, and operational workflows.
• Product sense: turn ambiguous questions into useful metrics and ensure numbers are understood.
• Pragmatism: improve messy systems incrementally with reliable solutions.
• Strong communication and documentation habits.
• Comfort being the first dedicated owner in an early-stage, high-growth environment.

Responsibilities

• Own and evolve data platform across ingestion, transformation, storage, semantic modeling, BI, and operational data quality.
• Rationalize the existing data estate: product events, execution telemetry, traces, application tables, models, and dashboards.
• Establish trusted source-of-truth metrics for business and product including activations, retention, and feature usage.
• Build and maintain models, pipelines, and metric layers ensuring consistency across teams.
• Partner with product and engineering to improve instrumentation and telemetry coverage for new features.
• Make data self‑serve through clear dashboards, documented datasets, and reusable metric definitions.
• Improve reliability with data quality checks, freshness monitoring, lineage, alerting, and backfills.
• Collaborate on analysis behind recommendations, customer signals, and roadmap decisions.
• Keep the stack secure and cost-aware with access control and retention policies.

Skills

SQL

Data modeling

Data warehousing

Python

dbt

ETL pipelines

BI tools

Data quality

Data governance

Tools

Redshift

Snowflake

BigQuery

Postgres

Metabase

Looker

Mode

Cube

Job description

CrewAI is seeking its first dedicated data engineer to own the data foundation end-to-end, rationalize what exists, and make data accessible for product, growth, engineering, and leadership.

The role centers on data infrastructure, pipelines, semantic modeling, metric definitions, data quality, and self-serve analytics, turning messy questions into clear analyses and informed product decisions.