Added
7 days ago
Type
Full time
Salary
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Related skills

distributed systems ai data pipelines validation platform engineering
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πŸ“‹ Description

  • Own the architecture and evolution of a major area of the entity data platform
  • Design systems that ingest and serve large volumes of heterogeneous vendor data at scale with high
  • Reduce manual validation overhead through AI-assisted resolution, confidence scoring, provenance
  • Establish clear contracts for correctness and traceability β€” e.g., which source supplied a field
  • Balance AI-driven and rules-based approaches where each improves reliability and explainability
  • Deliver end-to-end integrations across ingestion, matching, entity generation, and delivery

🎯 Requirements

  • 8+ years building and operating large-scale production systems
  • Proven experience with data ingestion, entity resolution, matching, or normalization at scale
  • Deep expertise in one or more of: distributed systems, data pipelines, reference data platforms
  • Strong code, system design, and architecture pattern skills
  • Ability to design trustworthy systems combining probabilistic (AI) and deterministic approaches
  • Delivery excellence: incident response, observability, and reliability improvements that stick

🎁 Benefits

  • equity
  • generous benefits program
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