Senior Engineering Manager, Data Pipeline

Tasks

• Address data consistency issues
• Balance feature delivery technical debt and operational work
• Collaborate on product roadmap and strategic priorities
• Coordinate cross team dependencies for unified tracking and tracking API security
• Drive architectural improvements for hot path tracking
• Ensure tracking pipeline reliability scalability performance
• Implement observability and incident readiness
• Lead Data Pipeline team delivery
• Manage code reviews and automated testing
• Oversee L3 support on call rotation and incident management
• Reduce MongoDB pressure and improve throughput
• Set team goals provide feedback guide career growth

Perks/Benefits

• Additional quarterly day off
• Employee assistance program
• Extended parental leave
• Flexible working hours
• Paid volunteer days
• Professional education budget
• Remote work flexibility
• Sports yoga and meditation opportunities
• Stock grants
• Stock options

Skills/Tech-stack

Agile | Apache Kafka | Apache Spark | BigQuery | Bigtable | CI/CD | Cloud Storage | Cloud platform | Confluence | Dataproc | GitLab | Go | Google Cloud | Google Cloud Platform | Google Cloud Storage | Grafana | Helm | Iceberg | Incident Management | Jira | Kubernetes | MongoDB | On-Call | OpenTelemetry | PagerDuty | Prometheus | Python | Redis | Robot Framework | Sentry | Terraform | Victoria Metrics