Senior Manager, Data Engineering
Tasks
- Create and maintain runbooks and architecture decision records
- Design and implement data architecture and infrastructure
- Drive data lakehouse performance and cost efficiency
- Establish code review standards and testing
- Implement CI CD and monitoring for data pipelines
- Lead mentor and grow data engineering team
- Manage incident response for data pipelines
- Manage team capacity and sprint planning
- Own production data pipeline operations at scale
- Own team roadmap and execution priorities
- Participate in hiring and interview process
- Partner with product managers and application engineers
- Report key performance indicators to leadership
- Translate data needs into scalable pipeline designs
Perks/Benefits
- 401k employer match
- Accident insurance
- Commuter benefits
- Disability coverage
- Employee assistance program
- Flexible spending account
- Flexible time off
- Health savings account
- Life and AD D Insurance
- Paid Holidays
- Paid parental leave
- Pet insurance
- Remote work
- Wellness platform subscription
- Work-from-home equipment
Skills/Tech-stack
Access Controls | Airbyte | Amazon Redshift | Apache Airflow | Automation | CI/CD | Code review | Cost Management | DBT | Data Governance | Data Lakehouse | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Fivetran | Google BigQuery | Incident Response | Kafka | Monitoring | Performance Tuning | Python | Query Optimization | SQL | Snowflake | Testing
Education
N/A
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