Data Architect / Data Platform Lead

GuruLink; Toronto; Remote; CAD 100,000 - 140,000; Full time

Job summary

GuruLink is seeking a Data Architect / Data Platform Leader to build a comprehensive core data ecosystem remotely. The ideal candidate will work on ingesting healthcare data and ensuring compliance with standards while overseeing a robust data architecture. This role requires significant expertise in data management and cloud-native platforms, particularly in the healthcare sector.

Qualifications

• 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.).

Responsibilities

• Ingest, normalize, and store healthcare data from various sources.
• Design scalable data management architectures for operational and analytical use.
• Implement data governance framework ensuring compliance with relevant standards.

Skills

Data management

Data architecture

Python

SQL

Job description

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