Jellyfish
1001 - 5000 employees
📱 Media
Media • Marketing
Jellyfish is a global digital marketing agency that combines creative talent, technology partnerships, and strategic expertise to help brands perform and grow globally. With over 2,000 employees spread across 42 offices in 22 countries, Jellyfish supports ambitious brands through innovative campaigns, a strong relationship with new and emerging technologies, and a unique business model that empowers innovation. Their expertise spans creative media, technology, and data strategy, contributing to their reputation as more than just a traditional agency.
Staff Data Architect
Job not on LinkedIn
🕒 May 28
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Jellyfish
1001 - 5000 employees
📱 Media
Media • Marketing
Jellyfish is a global digital marketing agency that combines creative talent, technology partnerships, and strategic expertise to help brands perform and grow globally. With over 2,000 employees spread across 42 offices in 22 countries, Jellyfish supports ambitious brands through innovative campaigns, a strong relationship with new and emerging technologies, and a unique business model that empowers innovation. Their expertise spans creative media, technology, and data strategy, contributing to their reputation as more than just a traditional agency.
📋 Description
• Own the blueprint for the next-generation Jellyfish data platform. • Design and automate strict, code-driven environment isolation boundaries. • Modernize workflow orchestration and distributed compute engines. • Partner with application teams to ensure secure, cached API layers. • Build and maintain granular data-quality monitors and cost-allocation frameworks.
🎯 Requirements
• Deep, production-level experience with Python, advanced SQL, and modern data stack essentials. • Hands-on mastery of enterprise-scale data platforms and governance layers (e.g., Snowflake, Databricks Unity Catalog, BigQuery). • Familiarity with programmatic orchestrators (like Prefect, Dagster, or Airflow) and modern data validation engines (like Pydantic v2). • Experience with Infrastructure-as-Code (Terraform) or programmatic workflows. • Excellent at documenting data lineage, mentoring data engineers, and collaborating across DevOps and Product teams. • Ability to recognize the difference between data quality stages and software development lifecycles.
🏖️ Benefits
• Offers Equity
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