Senior Data Architect/Modeller

We are seeking a highly accomplished Senior Data Architect/Modeller to lead the technical design, logical governance, and structural integration of data architecture in a complex, distributed enterprise environment. In this role, you will take technical ownership of defining data flows, access mechanisms, and common business vocabularies that align strategic business needs with long-term technology strategies. Operating at the foundational layer of data engineering, you will build upon technology-independent data models, guide complex migration frameworks, and author critical architectural artifacts to de-risk platform delivery lifecycles.

Location: Toronto, ON (Hybrid – 3 days per week onsite at designated Toronto offices, 2 days remote)

Duration: 8 months.



Advantages
Architectural Blueprint Ownership: Shape core data structures that remain entirely independent of specific application or technology silos.

Modern Integration Footprint: Advance your portfolio by blending traditional relational engineering with automated data distribution mechanisms and advanced metadata registries.

Strategic Governance Seat: Lead high-visibility submissions for formal architecture gating review boards within a mature enterprise framework.

Balanced Delivery Model: Benefit from a structured scheduling split that combines collaborative onsite presence with home-office autonomy.



Responsibilities
Data Architecture & Vocabulary Engineering: Design and implement the overall data architecture framework, establishing standard common business vocabularies and outlining high-level integrated designs that align with strategic business goals.

Data Modeling & Standardization: Build, refine, and enforce normalization standards across Conceptual and Logical Data Models (CDM/LDM), ensuring adherence to strict architectural quality guidelines.

Data Prototyping & Validation: Execute hands-on data prototyping pipelines to validate conceptual recommendations and support experimental proofs-of-concept during initial system phases.

Data Migration Strategy Blueprinting: Drive the architectural design, source-to-target mapping logic, and technical scoping needed to establish a comprehensive enterprise Data Migration plan.

Enterprise Architecture Artifact Governance: Author low-level architectural deliverables, models, and metadata definitions to guide solutions smoothly through formal technical review board evaluation gates.

Distributed System Modeling: Model data distribution rules, database placements, and optimization settings for multi-platform environments running complex relational and dimensional schemas.

Stakeholder Advisory & Requirements Elicitation: Facilitate deep-dive discovery sessions with business teams and IT professionals to capture information resource requirements and translate them into technical specification blueprints.



Qualifications
Core Data Architecture Seniority: Extensive, progressive professional experience defining enterprise data architecture frameworks and structuring data flows within distributed system landscapes.

Data Modeling Tool Stack Mastery: Expert hands-on capability utilizing industry-standard CASE design software—specifically ERwin, Visio, or PowerDesigner.

Conceptual & Logical Specialization: Deep technical proficiency building and refining application-independent Conceptual Data Models (CDM) and Logical Data Models (LDM).

Migration Strategy Blueprinting Toolkit: Proven experience formulating data migration roadmaps, running alpha data prototypes, and modeling dimensional/relational storage architectures.

Multi-Platform Technical Literacy: Demonstrated experience working across at least two different database technologies, operating systems, backend languages, and communication protocols.

Public Sector Governance Awareness: Solid background producing architectural deliverables, data standards, or visual mockups that align with formalized public sector information management principles and design systems.

Soft Skills: Exceptional analytical problem-solving, negotiation, and relationship-management capabilities, with a proven track record of delivering concise presentations to management and handling project triage challenges under tight deadlines.

Nice to Have:
Functional familiarity with digital accessibility compliance standards, including AODA regulations.

Practical understanding of object-oriented design patterns, middleware architectures, and secure gateway integrations.



Summary
If you're interested in the "Senior Data Architect/Modeller" role based in Toronto, we encourage you to apply online at www.randstad.ca. Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.