VP, Data Engineering
New York - 150 E 42nd, United States
USD 136K-182K Executive-level Full Time
Tasks
- Architect cloud data platforms
- Drive AI ML and real time analytics capabilities
- Enable data ingestion transformation orchestration
- Ensure data privacy security compliance
- Establish data governance frameworks
- Implement automation, CI/CD, Infrastructure-as-Code
- Improve data quality and discoverability
- Lead and coach data engineering teams
- Lead enterprise data engineering strategy
- Manage data ownership lineage metadata
- Manage data platform reliability and resilience
- Optimize Snowflake performance and cost
- Oversee data warehouses data lakes pipelines streaming
Perks/Benefits
- 401k
- Dental insurance
- Flexible paid time off
- Life insurance
- Long-term disability insurance
- Medical insurance
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Short-term Disability Insurance
- Vision insurance
Skills/Tech-stack
AI machine learning | Automation | Azure | CI/CD | Cloud Data | Cloud Data Platforms | Data Governance | Data Lakes | Data Lineage | Data Pipelines | Data Privacy | Data Quality | Data Security | Data Stewardship | Data Streaming | Data Warehousing | Data orchestration | Data platforms | Distributed Processing | GCP | Infrastructure Reliability | Infrastructure as Code | Machine Learning | Metadata Management | Real Time | Real-time analytics | Regulatory Compliance | Snowflake | “as-code”
Education
N/A
Regions
Countries
States
Cities
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