Job Title

Location: REMOTE / Toronto, Ontario This job allows you to work remotely. Seeking a Data Architect / Data Platform Leader who can build our core data ecosystem from scratch ingesting data from wearables, PDFs, and EMRs into a clean, governed, AI-ready lakehouse that powers our entire product. Key Responsibilities: Ingest, normalize, and store Healthcare data from wearables (Oura, Apple Health), EMRs (FHIR, HL7), and unstructured documents (OCR/NLP) Design scalable and validated (or validation-ready) streaming, batch, and microbatch Data Management Architectures for operational and analytical use cases, leveraging OLTP, Lake House, and other relevant reference architectures and data and intelligence platforms (e.g., Snowflake, BigQuery) Enable AI & Analytics through structured, semantic, time-series-ready data models Ensure Governance & Compliance with HIPAA, PHIPA, and GDPR standards Own Tooling Stack: ETL/ELT (Airbyte, dbt), observability, metadata management Implement Data governance framework Maintain documentation... Must Have Skills: Must-Haves: 5+ years in data architecture/engineering, ideally in healthcare or wearables Experience architecting zero-to-one cloud-native platforms Deep familiarity with health data standards (FHIR, HL7, JSON, CDA, etc.) 5+ years of Data management ETL/ELT pipelines implementations - streaming, batch, and Micro-batch Extensive experience delivering BI and AI solutions with Cloud Data and Intelligence platforms such as Data Bricks or Snowflake Skilled in Python, SQL, and security-forward data design Nice to Have Skills: Nice-to-Have: - LLM prep pipelines, feature stores, or graph-based modeling - Clinical informatics or digital health background #J-18808-Ljbffr