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Senior Data Architect/Modeller

Akkodis group

Toronto

Hybrid

CAD 100,000 - 140,000

Full time

14 days ago

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Job summary

A leading company is seeking a Senior Data Architect/Modeller in Toronto to lead data architecture initiatives for complex health-related IT projects. The ideal candidate will have extensive experience in public-sector healthcare IT, focusing on data modeling, governance, and compliance with industry standards. This hybrid role offers a unique opportunity to influence data strategies and maintain organizational standards in a critical sector.

Qualifications

  • 5+ years in healthcare IT projects, specifically in public-sector environments.
  • Knowledgeable in public-sector architecture standards and project management.
  • Experience with Unified I&IT methodologies is critical.

Responsibilities

  • Map and model organizational data flows and interactions.
  • Design high-level and detailed data models.
  • Lead data migration and warehousing strategies.

Skills

Leadership
Data Governance
Regulatory Compliance
Data Migration
Public Sector Methodologies

Job description

Our client is seeking a Senior Data Architect/Modeller to lead and support data architecture initiatives across complex health-related IT projects. This role demands a strategic thinker with strong technical expertise and a deep understanding of public-sector requirements.

Job Title:Senior Data Architect/Modeller

Job Location:Toronto, ON/Hybrid

Job Description:

Must Haves:

· 5+ years in federal/provincial/public-sector healthcare IT projects

· Knowledge of public-sector architecture standards and project methodologies (e.g., PMI, Public Sector I&IT)

· Experience with Public Sector Unified I&IT methodologies and gating processes

· Familiarity with health sector policy and approval protocols

· Demonstrated success in large, complex health-related IT initiatives

Key Responsibilities:

· Map and model organizational data flows and interactions

· Design high-level and detailed data models (conceptual, logical, physical)

· Define standards for data governance, quality, security, and documentation

· Lead data migration, warehousing, and ETL strategies

· Support BI tool implementation and data quality reporting

· Ensure regulatory compliance and performance optimization

· Produce technical documentation aligned with industry standards



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