Senior Data Architect/Modeller in Toronto

About the job RQ08912 - Data Architect/Modeller - Senior

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+ 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 complies 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.
• 5 points
• Technical Skills and Experience

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 on enterprise standards.
• 4+ years experience in designing schemas that integrate diverse data types stored in a data lake or data lakehouse.
• 3+ years experience of implementing Medallion architecture or similar frameworks. Familiarity with tools and techniques for managing metadata in a data lakehouse environment.
• Hands‑on experience with Azure services, including Azure Data Factory, Azure Data Lake Storage, and Azure Databricks.
• 50 points
• Core Skill and Experience
• 10+ years experience with Solutions development.
• Experience in addressing complex data integration challenges and design efficient, scalable data models.
• Experience in monitoring and enforcing data modelling/normalization standards.
• Experience with the privacy and security requirements or software development in a health context, or equivalent.
• Demonstrated knowledge of leading technical design, security and recovery procedures for application development.
• Experience with relational and hierarchical database technologies.
• Demonstrated understanding and experience with the use of information retrieval packages using query languages.
• Experience in production environment troubleshooting and tuning to improve performance.
• Knowledge and experience of Information Management tools, principles, concepts, policies and practices.
• 30 points
• General Skills
• Experience with at least two different platforms, operating systems, environments, database technologies, languages and communications protocols.
• Knowledge of performance considerations for different database designs in different environments.
• Experience in structured methodologies for the design, development and implementation of applications.
• Experience in systems analysis and design in large or medium systems environments.
• Awareness of emerging I&IT trends and directions.
• Excellent analytical, problem‑solving and decision‑making skills; A team player with a track record for meeting deadlines.

Strong communication skills to articulate data architecture concepts and collaborate with stakeholders.

• Experience working with cross‑functional teams, including IT, business, and data engineering teams.
• Strong analytical skills to understand and model complex data relationships and structures.
• Meticulous attention to detail in designing and implementing data models and schemas.
• 15 points
• MUST HAVE

• 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 on enterprise standards.
• 4+ years experience in designing schemas that integrate diverse data types stored in a data lake or data lakehouse.
• 3+ years experience of implementing Medallion architecture or similar frameworks. Familiarity with tools and techniques for managing metadata in a data lakehouse environment.
• Hands‑on experience with Azure services, including Azure Data Factory, Azure Data Lake Storage, and Azure Databricks.
• 10+ years experience with Solutions development.
• Experience in addressing complex data integration challenges and design efficient, scalable data models.
• Experience in monitoring and enforcing data modelling/normalization standards.
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