Job opening
Lead Data Engineer – Snowflake
Filed under IT Services and IT Consulting
Full job description
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/