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python go scala dbt kafka📋 Description
- Lead design, build, and operation of the unified data & ML platform.
- Ingestion & Pipeline: scalable batch/streaming ingestion & lineage.
- Lakehouse architecture: core analytics platform, storage & partitioning.
- Transformation & Orchestration: scalable pipelines; testing & contracts.
- Feature Platform: reusable features with offline/online consistency.
- Real-time Inference & Serving: low-latency serving; canary/shadow.
🎯 Requirements
- 10+ years building/operating production data & ML platforms.
- Proficiency in Python, Scala, or Go; strong distributed systems.
- Deep expertise in data platforms (warehousing, lakehouse, pipelines) and ML platforms.
- Feature stores design/operation; offline/online consistency.
- Streaming/batch pipelines (Kafka, Flink, Spark, dbt); latency/throughput trade-offs.
- Observability & Operations: metrics, logs, SLOs, incident response.
- Technical Leadership (Staff): guide teams; design reviews; scale.
- Collaboration & Influence across Data Science, Analytics, DevOps, Backend.
🎁 Benefits
- Hybrid in-office model in Toronto and Montreal.
- Team lunches and game nights.
- Company-wide events.
- Growth-focused culture with data-driven decisions.
- Inclusive, welcoming environment.
- Virtual or in-person perks.
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