VP of Data Engineering
Los Angeles, California, United States
USD 180K-220K Executive-level Full Time
Tasks
- Build data pipelines
- Define team organizational design
- Deliver analytics platforms
- Deploy analytics automation
- Design enterprise data architecture
- Develop data strategy
- Develop technology roadmap
- Ensure data quality standards
- Establish access controls
- Implement cloud data architecture
- Lead AI implementation
- Lead data governance
- Manage reporting and insights
- Monitor data reliability
- Optimize engineering KPIs
- Recruit mentor and retain data team
Perks/Benefits
- 401k match
- Dental insurance
- Disability insurance
- Employee assistance program
- Employee discount program
- Employee referral program
- Health insurance
- Life insurance
- Paid parking
- Paid time off
- Vision insurance
Skills/Tech-stack
AI Agents | Access Control | Analytics | Analytics Platforms | Artificial Intelligence | Automation | Cloud Architecture | Data Architecture | Data Engineering | Data Governance | Data Pipelines | Data Quality | Data Security | ELT | ETL | Infrastructure scalability | KPI Monitoring | Machine Learning | Reporting | Scalable systems | Workflow Optimization
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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