Lead Data Engineer
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Summary
Lead Data Engineer at Sidian will build multimodal ingestion pipelines for engineering data (drawings, BIM files, PDFs, emails), architect a company knowledge graph, and develop retrieval/reasoning systems. Core stack: Python, Neo4j/Cypher, Apache Spark, Databricks, and Parquet-based multi-store architectures.
Sidian is building the company brain for engineering firms. As Lead Data Engineer, you will design and build pipelines that ingest drawings, BIM files, PDFs, spreadsheets, documents, emails, and project history, then unify them in a structured, queryable knowledge graph.
What you will own
- Build multimodal ingestion pipelines for engineering data.
- Architect the company knowledge graph.
- Develop retrieval and reasoning systems for search, recommendations, and automation.
- Design data models and polyglot storage at scale.
- Turn customer workflows into dependable products.
What you bring
- Strong Python and backend data engineering skills.
- Hands-on Neo4j, Cypher, knowledge graph, and graph database experience.
- Production experience with Apache Spark, Databricks, Parquet, and multi-store architectures.
- Experience parsing heterogeneous engineering formats into structured data.
- Evidence of initiative through a project, open-source contribution, research build, or startup.
This is a full-time, hybrid role in Waterloo, Ontario. Compensation is to be determined, plus equity.