Manager, Data Engineering and Analytics
Sacramento, California
USD 119K-174K (estimate) Senior-level Full Time
Tasks
- Apply analytics and AI to improve decisions
- Coach data engineers and data analysts
- Conduct root cause analysis
- Define and maintain data analytics backlog
- Design and develop data pipelines
- Enforce role-based access control
- Ensure report and dashboard consistency
- Establish data testing practices
- Handle incident response
- Implement data governance
- Implement semantic models
- Lead Agile delivery with Scrum ceremonies
- Maintain cloud data environment
- Maintain metric definitions and lineage
- Manage data engineering and analytics delivery
- Manage release management
- Monitor data quality and documentation
- Oversee production operations
- Own data modeling decisions
- Set standards for data pipelines
Perks/Benefits
- Commuting benefits
- Educational assistance
- Employee assistance program
- Employee referral program
- Health and wellness benefits
- Paid Holidays
- Paid time off
- Retirement plan match
- Wellness incentives
Skills/Tech-stack
AWS IAM | Amazon Web Services | Azure Data | Azure Data Factory | Cloud Computing | Data Factory | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data Testing | Data Warehousing | ELT | ETL | Lakehouse | Microsoft Azure | Monitoring | Python | RBAC | Release Management | SQL | Semantic Modeling | Web Services
Education
Regions
Countries
States
Cities
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