VP, Data Engineering
Tasks
- Architect data pipelines
- Build batch and real-time pipelines
- Collaborate with data science product and stakeholders
- Define data engineering strategy
- Drive observability and monitoring
- Ensure data lineage and security
- Establish data governance and quality
- Improve pipeline reliability
- Ingest transform and serve data
- Lead data engineering team
- Manage operating budgets and resources
- Oversee data lake and warehouse
- Own data platform roadmap
Perks/Benefits
- 401k plan
- Employee Learning and Development
- Employee resource groups
- Flexible spending account
- Health savings account
- Paid time off
- Parental leave
- Volunteer opportunities
- Wellness offerings
Skills/Tech-stack
AWS | Amazon Kinesis | Amazon Redshift | Apache Airflow | Apache Kafka | CI/CD | DBT | Data Governance | Data Lineage | Data Quality | Data Security | DynamoDB | Google BigQuery | KPI | Kanban | Observability | Oracle | SRE | Scrum | Snowflake
Education
N/A
Regions
Countries
States
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