VP, Data Platform Engineering
Tasks
- Collaborate with Data Science and Product on analytics needs
- Define data engineering strategy
- Enforce data governance, quality, and security
- Ensure scalable, reliable data infrastructure
- Improve pipeline reliability and reduce downtime
- Lead batch and real time pipeline development
- Manage and grow data engineering teams
- Manage data engineering budgets and resources
- Oversee data lake and warehouse evolution
- Own data platform architecture
- Provide executive reporting and progress updates
Perks/Benefits
- 401k plan
- Employee life insurance
- Flexible spending account
- Health savings account
- Medical, dental, and vision insurance
- Paid Holidays
- Paid sick time
- Paid vacation
- Parental leave
- Training and education reimbursement
- Wellness offerings
Skills/Tech-stack
AWS | Airflow | Amazon DynamoDB | Amazon Kinesis | Amazon Redshift | Apache Kafka | CI/CD | DBT | Data Governance | Data Lineage | Data Quality | Data Security | Google BigQuery | Kanban | Observability | Oracle | SRE | Scrum | Snowflake
Education
N/A
Regions
Countries
States
Cities
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