Related skills
aws sql python databricks dbt📋 Description
- Lead the enterprise data platform strategy and governance.
- Drive ingestion, storage, transformation, and observability.
- Modernize legacy warehouses to cloud-first Lakehouse architectures.
- Implement DataOps, CI/CD, and infrastructure as code.
- Ensure HIPAA, HITECH, and NIST compliance and data security.
- Collaborate with IT and analytics to deliver data roadmaps.
🎯 Requirements
- Four-year degree in CS/IS/Engineering; advanced degree preferred.
- 20+ years leading data engineering and analytics teams.
- 5+ years on enterprise data platforms, Lakehouse, cloud-native.
- Automation in engineering workflows; AI-based capabilities.
- Multi-cloud data engineering with enterprise-scale integrations.
- Certifications in AWS/Databricks/CDMP/PMP preferred.
🎁 Benefits
- Bonus Opportunity
- Comprehensive benefits: holidays, vacation, health, life, 401k with company match, EAP
- To learn more about BAYADA Benefits, visit the Benefits page
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