Senior Manager, Data Engineering
Tasks
- Build data engineering architecture
- Coach and develop employees
- Coordinate data controls with security teams
- Create data quality validation processes
- Design data models for analytics
- Design data warehouse facts dimensions snapshots
- Develop ELT pipelines
- Develop platform architecture
- Drive technical stakeholder discussions
- Hire and retain data engineering talent
- Implement SCDs in Snowflake
- Implement dbt models
- Lead data engineering team
- Maintain trusted data models
- Move data from source to target
- Orchestrate pipelines with AirFlow
- Solve production data issues
Perks/Benefits
- Annual performance bonus opportunities
- Career development opportunities
- Comprehensive healthcare coverage
- Equity RSUs
- Flexible PTO
- Paid parental leave
- Paid privacy certification exam fees
- Retirement account support
Skills/Tech-stack
Apache Airflow | DBT | Data Architecture | Data Engineering | Data Modeling | Data Quality | Data Validation | Data Warehousing | Databricks | ELT | ETL | Python | SQL | Snowflake
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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