Position - Sr Data Architect

Location - Toronto , Ontario

Key Responsibilities

• Design and implement enterprise-grade data architecture in a complex, distributed application environment.
• Define data flow, distribution models, database locations, and access methods.
• Develop technology-agnostic Conceptual and Logical Data Models (CDM/LDM) and support prototype development.
• Contribute to data migration strategies and planning activities.
• Support Alpha prototyping and Proofs-of-Concept (POCs) based on CDM recommendations.
• Assist in preparing enterprise architecture artefacts for submission to the Architecture Review Board (AGP0 - Summer 2025, AGP1 - Fall/Winter 2025).
• Collaborate with stakeholders to develop a standard business vocabulary and align data architecture with enterprise strategies.
• Monitor and enforce data modeling standards and quality across conceptual, logical, and physical data models.

Must-Have Skills (50%)

• 10+ years of experience in data architecture and data modeling in large/complex environments
• Proficiency with modeling tools (e.g., ERWIN, Visio, PowerDesigner)
• Experience with structured methodologies for application design, development, and implementation
• Experience with multiple database technologies, platforms, operating systems, and communication protocols
• Knowledge of metadata structures, data dictionaries, and repository functions
• Demonstrated experience in CASE tools and data modeling standards enforcement
• Familiarity with performance considerations across various database designs and environments
• Strong systems analysis, documentation, and data normalization skills
• Proven ability to deliver high-quality enterprise architecture deliverables
• Strong analytical thinking, problem-solving, decision-making, communication, and collaboration skills

Desirable Skills (30%)

• Experience designing automated data distribution mechanisms and middleware/gateway solutions
• Knowledge of object-oriented analysis and design techniques
• Experience integrating dimensional and relational data models across systems
• Familiarity with information management principles, policies, and best practices
• Experience creating reusable data standards and reviewing data models for quality/adherence
• Awareness of emerging IT trends and technologies relevant to data modeling and architecture

Public Sector Experience (5%)

• Previous work in government or broader public sector environments
• Experience with the Ontario Design System and knowledge of Ontario Government Enterprise Architecture frameworks
• Ability to develop EA deliverables in alignment with Ontario's architecture review processes

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