VP, Data Platform Engineering
Tasks
- Collaborate with data science product and business partners
- Define data engineering strategy and architecture
- Ensure data security and compliance
- Establish data governance and quality standards
- Evolve data lake and warehouse architecture
- Improve pipeline reliability and reduce downtime
- Lead and grow global data engineering teams
- Manage budgets and resources
- Oversee scalable batch and real time pipelines
- Own data platform roadmap
- Provide leadership updates to executive stakeholders
- Translate business goals into data engineering initiatives
Perks/Benefits
- 401k plan
- Flexible spending accounts
- Health savings accounts
- Insurance (medical, dental, vision)
- Life insurance
- Paid Holidays
- Paid sick time
- Paid vacation
- Parental leave
- Wellness offerings
Skills/Tech-stack
Amazon DynamoDB | Amazon Kinesis | Amazon Redshift | Amazon Web Services | Apache Airflow | Apache Kafka | CI/CD | DBT | Data Governance | Data Lineage | Data Pipeline Architecture | Data Quality | Data Security | Data pipeline | Google BigQuery | Kanban | NoSQL | Observability | Oracle | Pipeline architecture | Reliability Engineering | Scrum | Site Reliability | Site Reliability Engineering | Snowflake | Web Services
Education
N/A
Roles
Data Engineering | Engineering | VP | VP Data | VP, Data Engineering
Regions
Countries
States
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