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Staff Data Architect
JellyfishStaff Data Architect at Jellyfish designing and scaling the next generation of their data platform. Collaborating with elite engineering organizations to drive data architecture and automation.
Tech Stack
Tools & technologiesAirflowBigQueryPythonSQLTerraformUnity
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Offers Equity 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
ATS Keywords
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Hard Skills & Tools
PythonSQLdata platformsdata governanceSnowflakeDatabricks Unity CatalogBigQueryTerraformdata validationdata lineage
Soft Skills
mentoringcollaborationdocumentation