Job Description

What You’ll Actually Do

  • Architect and run high-load, production-grade data pipelines where correctness and latency matter.

  • Design systems that survive schema changes, reprocessing, and partial failures .

  • Own data availability, freshness, and trust - not just pipeline success.

  • Make hard calls: accuracy vs cost, speed vs consistency, rebuild vs patch .

  • Build guardrails so downstream consumers (Analysts, Product, Ops) don’t break.

  • Improve observability: monitoring, alerts, data quality checks, SLAs.

  • Partner closely with backend engineers, data analysts, and Product - no handoffs, shared ownership.

  • Debug incidents, own RCA, and make sure the same class of failure doesn’t return.

This is a hands-on IC role with platform-level responsibility.

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