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Staff Engineer, Data Platform

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Staff Engineer, Data Platform in Canada

  • NationGraph
  • Full time
  • Email
  • Toronto

Responsibilities

  • Own the external data platform end-to-end.
  • Design systems for data discovery, acquisition, extraction, normalization, entity resolution, validation, storage, serving, and monitoring.
  • Establish the architecture and abstractions used by other engineers.
  • Develop systems that handle changing schemas, broken sources, conflicting records, and other messy real-world data.
  • Use LLMs, agents, and emerging models to discover sources, understand schemas, extract structured information, resolve entities, monitor quality, and detect source changes.
  • Build proprietary data flywheels and continuously expand the underlying knowledge graph.
  • Define technical direction for acquiring and representing public-sector information and make long-term platform investment decisions.
  • Partner with Product, ML Research, and Infrastructure on data acquisition and platform strategy.

Requirements

  • Be an unusually strong engineer who enjoys working with data and has owned significant production data systems end-to-end.
  • Strong proficiency in Python, Go, or another systems/backend language and high proficiency with SQL.
  • Understand distributed data systems, including orchestration, idempotency, backfills, retries, observability, lineage, and failure recovery.
  • Have experience with one or more of large-scale external data, crawling, information retrieval, entity resolution, knowledge graphs, or document processing.
  • Be interested in using LLMs and modern ML as components of data infrastructure.
  • Care deeply about data quality, correctness, and reliability.
  • Demonstrate strong product judgment about which data is worth acquiring.
  • Thrive in ambiguity and be able to create architecture rather than receive a predefined design.
  • Backgrounds in alternative data, quantitative research infrastructure, search and crawling, AI data infrastructure, knowledge graphs, large-scale document processing, or data aggregation are of interest but are not required.

Benefits

  • Significant ownership over technical decisions, platform architecture, and product outcomes.
  • Opportunity to solve a foundational, genuinely difficult public-sector data problem and build a proprietary data advantage.
  • Work closely with the CEO, CTO, and a small engineering and research team with backgrounds in infrastructure, quantitative finance, AI, and startups.
  • Fast-moving environment with little bureaucracy and substantial technical ownership.

NationGraph

NationGraph is transforming public sector sales by unlocking a single source of truth for every government purchase decision. We empower sales teams with real-time insights - covering purchase orders, meeting minutes, procurement rules, and more - so they can bypass endless spreadsheets and focus...

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