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ITProfound Inc.

Data Architect/Modeller - Senior

Posted 16 Days Ago
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In-Office
Toronto, ON
Senior level
In-Office
Toronto, ON
Senior level
Lead development and refinement of conceptual and logical data models, perform data prototyping and proofs-of-concept, support data migration strategy, enforce modelling standards, create enterprise architecture artefacts for Architecture Review Board submission, and liaise with clients and I&IT management to define information architecture requirements.
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We do have a job opening for Data Architect/Modeller - Senior for our direct client Province of Ontario. The position details are given below:

Job Details:

Job ID: RQ11266 - Data Architect/Modeller - Senior

Client : Land & Resources Cluster
Location : 40 St. Clair Ave W, Toronto, Ontario
Duration:  08 months + Extension
Type: Hybrid ( 3 days onsite 2 days remote)


Job Description:

Experience and Skill Set Requirements


Mandatory Skills:

  • Knowledge and experience in information resource management tools and techniques

  • Defines, identifies and describes information architectural requirements with clients, and obtains I&IT management approval.

  • Ability to complete complex information architecture reviews and assessments, development and/or support projects, to support new and changed enterprise priorities and initiatives, and client clusters’ and their clients’ information architecture and/or business needs.

  • 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

  • Experience in the use of Computer Aided Software Engineering (CASE) tools for the development and documentation of data architectures and detailed data models

  • Experience in the use of data modelling methods and tools (e.g. ERWIN, VISIO, PowerDesigner) including a working knowledge of metadata structures, repository functions, and data dictionaries

  • Knowledge and experience in the use of information retrieval packages Awareness of emerging I&IT trends and directions

  • Experience in monitoring and enforcing data modelling/normalization standards

  • Experience in developing enterprise architecture deliverables (e.g. models)

  • Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skills

  • A team player with a track record for meeting deadlines

  • Resource will build upon the Conceptual and Logical Data Models which are technology-and application-independent and will assist with the following tasks/deliverables:

  • Continue ‘data prototyping’ to proof CDM recommendation

  • Refine the Logical Data Model as required.

  • Support MECP in developing their Data Migration strategy/plan

  • Assist with Alpha prototyping and/or proofs-of-concept

  • Support development of enterprise architecture artefacts for submission to Architecture Review Board for Architecture Gate Point 1 (AGP1) in spring 2027

Desirable Skills:

  • Knowledge and understanding of Information Management principles, concepts, policies and practices

  • Knowledge and understanding of Accessibility for Ontarians with Disability Act (AODA) and related regulations and standards

  • Experience with middleware and gateways

  • Experience in designing/developing an automated data distribution mechanism

  • Knowledge and understanding of object-oriented analysis and design techniques.

  • Knowledge and understanding of Information Management principles, concepts, policies and practices

  • Experience creating detailed data standards to enable integration with other systems

  • Experience reviewing conceptual, logical and physical data models for quality and adherence to standards Knowledge and understanding of dimensional and relational data models

  • Knowledge and experience in information resource management tools and techniques




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