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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 Communication & Soft Skills (15%) Excellent communication (verbal/written) and presentation skills Ability to present technical findings, options, and recommendations to both technical and non-technical audiences Collaborative team player with a strong record of client engagement and relationship management Self-starter with a proactive mindset and attention to detail Demonstrated ability to manage multiple tasks under tight deadlines Experience in project triage/rescue situations is a strong asset 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 Ontarios architecture review processes

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