Description:

Design, automate, and scale the next generation of the Jellyfish data platform.
Mature core data models, automate environment boundaries, and enhance observability and cost-attribution in data pipelines.

Requirements:

Deep experience with Python, advanced SQL, and modern data stack tools (e.g., Prefect, Dagster, Airflow).
Mastery of enterprise-scale data platforms (e.g., Snowflake, Databricks Unity Catalog, BigQuery).
Strong automation mindset with Infrastructure-as-Code (Terraform) experience.
Excellent collaboration skills with a focus on documenting data lineage and mentoring.
Ability to differentiate between data quality stages and software development lifecycles.

Opportunity to impact how engineering leaders measure productivity.
Work in a fun, performance-driven environment with a focus on teamwork and humor.

Skills