Director, Data Engineering (AI Native)
Tasks
- Build data modeling standards
- Create data testing frameworks
- Define data engineering technical strategy
- Design CI/CD workflows
- Design semantic layer
- Ensure data reliability and performance
- Establish data governance and quality standards
- Implement data documentation and observability
- Implement dbt architecture
- Integrate AI tools into data workflows
- Lead engineering teams through managers
- Manage lakehouse data platforms
- Optimize data pipelines with AI native practices
- Optimize data platform cost efficiency
- Oversee analytics engineering practices
- Translate business needs into data roadmaps
Perks/Benefits
- Comprehensive medical/dental/vision coverage
- Equity program
- Home office and equipment support
- Learning and development budget
- Life and disability coverage
- Paid time off
- Remote-first work environment
- Retirement savings plan
Skills/Tech-stack
Analytics engineering | BigQuery | CI/CD | DBT | Data Engineering | Data Governance | Data Modeling | Data Quality | Databricks | Dimensional Modeling | Distributed Systems | ELT | ETL | Lakehouse | Observability | Orchestration | Pipeline Optimization | Remote team leadership | Semantic Modeling | Semantic layer | Snowflake | Team leadership
Education
N/A
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