01Overview
About the job
Grey Parrot Systems is hiring a Lead Data Engineer to own data platform architecture, set engineering standards, and lead a team building production-grade data pipelines for enterprise client engagements.
About Grey Parrot Systems
Grey Parrot Systems is a women-owned, BEP-certified IT services firm headquartered in Naperville, IL. We deliver AI-first, governance-driven digital transformation — and we're growing.
Must-Have Skills
8+ years of data engineering experience — proven technical leadership or lead engineer experience
Expert-level Snowflake — architecture, schema design, query optimization, cost governance, and access controls
Expert-level dbt — modeling, transformations, testing, documentation, incremental models, and deployment governance
Strong Dagster — asset-based pipelines, scheduling, sensors, and alerting
Strong Python — production-grade ETL/ELT automation and pipeline development
Expert-level SQL — complex queries, window functions, CTEs, and performance optimization
Deep data modeling — Medallion Architecture, star schema, and dimensional modeling
Experience defining data engineering standards — coding practices, naming conventions, and documentation
Ability to mentor and guide junior and mid-level data engineers
Must be local to Naperville, IL — on-site / hybrid availability required
What You'll Do
Own data engineering architecture and delivery — setting technical direction and governing standards
Design and build production-grade ELT pipelines — Python, Dagster, dbt, and Snowflake
Govern dbt data models across Bronze / Silver / Gold layers — transformations, tests, and documentation
Architect and optimize Snowflake environments — schema design, clustering, materialized views, and cost governance
Define and enforce data engineering standards across the team
Lead data platform observability — monitoring, alerting, lineage, and incident resolution
Mentor junior and mid-level data engineers — raising the technical bar
Use Claude and AI tools to accelerate SQL generation, dbt modeling, and pipeline documentation
Tech Stack
Snowflake · dbt · Dagster · Python · SQL · Medallion Architecture · Fivetran / Airbyte / dlt · Git · CI/CD · Azure / AWS / GCP · Microsoft 365
Nice to Have
dbt Cloud, Airflow, or MotherDuck / DuckDB experience
Snowflake SnowPro or dbt certification
AI-powered data engineering and LLM-integrated pipeline experience
What Sets You Apart
You built the modern data stack — not just contributed to someone else's
You set the dbt standards your team follows and enforce them in code review
You mentor engineers who become better because of working with you
You use Claude daily to accelerate data engineering work — and teach others to do the same
Details
Location: Naperville, IL — Local candidates only
On-Site / Hybrid required
Experience: 8+ years
Type: Full-Time
Start: Immediate
Stay Connected
👉 https://www.linkedin.com/company/gparrot/