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aws snowflake kubernetes dbt kafka📋 Description
- Lead Snowflake data platform; define SLOs and observability.
- Design real-time feature serving infra with freshness guarantees.
- Set platform standards: SLAs, monitoring, incidents, cost.
- Partner with Analytics to own how/scale vs what/why.
- Grow team from 2 to ~4 engineers in 12 months.
- Run day-to-day planning, RFCs, incidents, mentorship.
🎯 Requirements
- Cloud data platform at real scale with event ingestion, streaming.
- Production reliability: SLOs, freshness, replay, silent failure detection.
- AI/ML in production: feature pipelines, online/offline stores.
- Led engineers; hands-on mentorship with 1:1s and growth talks.
- Trade-offs oriented: speed vs cost, build vs buy, data-driven decisions.
- Enable other teams; contracts, tooling, avoid gatekeeping.
🎁 Benefits
- Remote-first: work from home or coworking abroad.
- 30 vacation days + 5 sick days.
- No overtime expectations; time back if needed.
- MacBook, monitor, €1,000 yearly learning budget.
- Fully covered company retreats and team meetups.
- International team; English as company language; wellness benefits.
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