Related skills
sql python databricks data modeling airflow📋 Description
- Own and evolve core data models and metrics.
- Support analytics, in-product insights, and AI model training.
- Lead hands-on data work focused on durable foundations.
- Partner with Product, Data Platform, Analytics teams.
- Set standards for modeling and orchestration.
- Balance near-term delivery with long-term durability.
🎯 Requirements
- Leadership: 2+ years managing data professionals.
- 6+ years building reusable data models.
- Experience supporting SaaS product data.
- SQL, Python, Spark; Databricks lakehouse.
- Operational mindset: data quality, reliability, availability; Airflow.
- Collaborative across Product, Data Platform, Analytics, Eng.
🎁 Benefits
- Bonus and benefits included.
- Remote-friendly role.
- Collaborative, cross-team environment.
- Equal opportunity employer; accommodations available.
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