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Data Architect Modeller

Job in Toronto, Ontario, C6A, Canada
Listing for: Foilcon
Full Time position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Security, Data Warehousing
Job Description & How to Apply Below
Position: Data Architect Modeller 9345-3014

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HM

Note:

This hybrid contract role is three (3) days in office. Candidates resume must include first and last name.

Description

Responsibilities:

  • Construct a high-level overview of the entire data landscape of the organization.
  • Illustrate how data moves through the organization and between systems.
  • Develop high-level designs outlining the main entities and their relationships.
  • Design detailed models showing attributes, primary keys, and relationships between entities without considering physical aspects.
  • Implement designs showing how data will be stored, including tables, columns, indexes, and relationships.
  • Design diagrams showing how different data systems and databases interact and are integrated.
  • Document standards and policies for data management, including naming conventions, data quality standards, and data security policies.
  • Plan and guide the roles and responsibilities of data stewards in maintaining data quality and integrity.
  • Compile detailed descriptions of data elements, their meanings, and their relationships.
  • Create a comprehensive list of business terms and their definitions to ensure consistent usage across the organization.
  • Document and design processes for extracting, transforming, and loading data from various sources.
  • Strategize and schedule the movement of data from legacy systems to new systems or platforms.
  • Detail the design of the data warehouse, including the schema, dimensions, and fact tables.
  • Set up and configure BI tools and dashboards.
  • Regularly report on the quality of data, identifying issues and areas for improvement.
  • Develop strategies and methods for cleaning and improving the quality of data.
  • Plan and diagram how data security will be implemented and maintained.
  • Document compliance with relevant regulations and standards.
  • Develop strategies for improving the efficiency and performance of data systems.
  • Detail plans for data architecture projects, including timelines, milestones, and resources required.
  • Document technical specifications for all data architecture components and processes.
Skills

Experience and Skill Set Requirements

Public Sector Experience: 5 points

  • 5+ years of experience working with federal/provincial/broader public-sector healthcare providers.
  • Knowledge of Public Sector Enterprise Architecture artifacts (or similar), processes and practices, and ability to produce technical documentation that comply with industry standard practices.
  • In-depth knowledge of industry standard such as Project Management Institute (PMI) and Public Sector I&IT project management methodologies.
  • Knowledge and experience with Public Sector Health related projects.
  • Knowledge and understanding of Ministry policy and IT project approval processes and requirements.
  • Experience adopting and adhering to Public Sector Unified I&IT Project Methodology, Public Sector Enterprise Architecture and Public Sector Gating process, and Public Sector Standard Systems Development Methodologies.
  • Experience with large complex IT Health-related projects.
Technical Skills and Experience: 50 points

7+years experiences in the following:
  • developing conceptual, logical and physical data models for structured, semi-structured, and unstructured data with relational, star and snowflake schemas.
  • Proficiency in data modeling methods and tools (e.g. ERWIN, VISIO, Power Designer).
  • developing and implementing common data models and master data management strategies
  • design schemas that balance agility, schema flexibility, data governance, and quality.
  • Expertise in creating schemas that allow flexible querying and analysis across various data formats.
  • defining data partitioning, clustering, and indexing strategies to optimize query performance and data access patterns.
  • implementing schemas and metadata structures that support efficient data management.
  • Understanding of data governance principles and practices, especially in designing schemas and metadata structures.
  • Experience in creating Architecture Artefacts based…
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