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Senior Data Architect / Modeller

Cynet Systems

Toronto

On-site

CAD 80,000 - 110,000

Full time

19 days ago

Job summary

A leading technology services firm in Toronto is seeking a data architecture specialist to develop and implement data architecture for application development. The ideal candidate should have extensive experience with information resource management tools and a strong grasp of data modelling methods. Excellent analytical and communication skills are essential. This position offers an opportunity to work in a complex environment and contribute to significant data projects.

Qualifications

  • Knowledge and experience in information resource management tools and techniques.
  • Experience with multiple platforms, operating systems, and database technologies.
  • Excellent communication skills, both verbal and written.

Responsibilities

  • Develop and implement data architecture for application development.
  • Provide a standard business vocabulary and express strategic data requirements.
  • Support development of enterprise architecture artefacts.

Skills

Information resource management tools
Data architecture
Data modelling methods and tools
Analytical and problem-solving skills
Collaboration skills
Verbal and written communication skills

Tools

ERWIN
VISIO
Power Designer
Job description
Responsibilities

Job Description : Responsibilities :

  • Develops and implements the data architecture for application development in a complex and distributed environment, including the determination of the flow and distribution of data, the location of databases, and data access methods.
  • Provides a standard common business vocabulary, expresses strategic data requirements, outlines high level integrated designs to meet these requirements, and aligns with the enterprise strategy and related business architecture.
Experience and Skill Set Requirements
Mandatory Skills (50%)
  • Knowledge and experience in information resource management tools and techniques.
  • 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, Power Designer) 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.
  • Data architecture / data modeler skills will build upon a Conceptual Data Model which is technology‑and application‑independent and will assist with the following tasks / deliverables.
  • Continue ‘data prototyping’ to prove CDM recommendation.
  • Develop a fully Attributed Conceptual Data Model (CDM) or Logical Data Model depending on IT solution strategy that is approved.
  • 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 0 (AGP0) during summer 2025 and then AGP1 during fall / winter.
Desirable Skills (30%)
  • 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.
Communication and Soft Skills (15%)
  • Excellent verbal and written communication skills (clear & concise). Presentation skills to present information and findings, options and recommendations to clients, project / technical team members and management audiences.
  • Strong track record of building and maintaining solid relationships with clients, project team members, and management.
  • Self‑motivated leader with strong interpersonal skills.
  • Collaboration skills to jointly work towards project common goals / deliverables by proactively sharing status, raising risks / issues and effort estimates.
  • Persistent attention to detail.
  • Proven ability to handle multiple tasks and deliver within extremely tight deadlines.
  • Project rescue / project triage experience is an asset.
Public Sector Experience (5%)
  • Previous experience working in Government or Public Sector organizations.
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