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bigquery mongodb redis python go📋 Description
- Lead the Data Pipeline team (6–7 engineers) delivering scalable tracking pipelines.
- Balance feature delivery with reliability, performance, and incident readiness.
- Architect and improve hot-path tracking pipeline; reduce MongoDB pressure.
- Collaborate with Product and Engineering to define roadmaps and plan projects.
- Ensure automated testing, code reviews, observability, and on-call readiness.
- Drive cross-team initiatives like Unified Tracking and API Security.
🎯 Requirements
- Proven Engineering Manager in backend/data engineering or distributed systems.
- Strong background in distributed systems architecture (event-driven, queues, databases).
- Experience with continuous delivery and automated testing.
- Track record shaping product roadmaps and strategic direction.
- Experience with Agile methodologies and cycle-based planning.
- Strong analytical and problem-solving skills.
🎁 Benefits
- Remote-friendly, flexible hours, and virtual-first culture.
- 5 paid volunteering days per year.
- Annual $1,500 professional education budget.
- Stock options or RSUs based on role/location.
- Company performance bonus for all employees.
- Extended parental leave up to 26 weeks.
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