Enterprise Data Architect - Remote

About Compugen Compugen is Canada's largest privately-owned Technology Ally. To innovate industries, transform businesses, connect communities, and drive meaningful change, we must think bigger, reach broader, and act bolder. Through knowledge, curiosity, and collaboration, Compugen helps organizations delivering experience by design. This is what it means to be human-centered and technology-enabled.

Dreaming, designing, and delivering isn't just a mantra for us — it's a way of life. We believe that technology is the conduit, but our people – they are the connection that truly makes the magic happen!

Our Culture We are a human-centered culture where we prioritize your well-being and are invested in helping you reach your fullest potential. We're not only focused on achieving our goals — we're dedicated to helping you achieve yours.

If you're relentlessly curious, driven to make a difference, and collaborative at the core, then you belong with us.

Position Overview: Enterprise Data Warehouse Architect – Level 2 - 6 month Remote Contract

We are seeking an experienced Enterprise Data Warehouse Architect to support the modernization of its data ecosystem and implementation of a Microsoft Fabric-based data platform.

The consultant will define current-state, transition-state, and target-state data architectures, establish data integration and modeling approaches, and provide architectural guidance to support business and technology roadmaps.

Services may include, but are not limited to:

• Assessing current-state data architecture, data models, integrations, and data flows.
• Defining target-state and transition-state data architectures aligned with business and technology strategies and industry best practices.
• Developing architecture roadmaps supporting migration to Microsoft Fabric and modern data platform capabilities.
• Designing and maintaining conceptual, logical, and physical data models.
• Designing and documenting end-to-end data flows, integration patterns, and data lifecycle processes.
• Analyzing existing systems and identifying opportunities for rationalization, modernization, and improved data quality.
• Collaborating with data and systems architects, enterprise architects, domain managers, delivery teams, and business stakeholders to ensure alignment between business capabilities and data architecture.
• Establishing standards, principles, and best practices for data architecture, modeling, and governance.
• Supporting implementation teams by providing architecture guidance, reviews, and recommendations.
• Evaluating emerging approaches for data integration, reporting, analytics, and information management.
• Contributing to the evolution of the enterprise data architecture and governance practices.

Qualifications

Resource Qualifications

Experience

• 10+ years of experience in Data Architecture.
• Demonstrated experience defining current-state, transition-state, and target-state data architectures and modernization roadmaps.

• Hands-on experience with Microsoft Fabric, including:

• OneLake

• Lakehouse

• Warehouses

• Data Factory

• Microsoft Fabric data capabilities

• Experience in cloud-based data modernization.

• Expertise in conceptual, logical, and physical data modeling.

• Experience designing data integration, transformation, and end-to-end data flows.

• Experience with architecture and data modeling tools, preferably Sparx Enterprise Architect.

• Experience with business or enterprise architecture.

• Experience with data governance, metadata management, and master data management.

• Experience with Power BI and/or enterprise analytics.

• Experience with The Open Group Architecture Framework (TOGAF) or another enterprise architecture framework.

Skills – Depth & Breadth

• Advanced written and oral communication skills, with the ability to convey technical information clearly, concisely, and understandably to both technical and non-technical audiences.
• Advanced problem-solving and analytical skills.
• Strong accuracy and attention to detail.
• Ability to manage conflicting priorities and adapt to changing circumstances.
• Ability to interact effectively and courteously with all levels of staff and management.
• Leadership skills to lead data transformation and engineering development across projects, departments, and divisions.
• Demonstrated ability to work independently and deliver solutions within complex enterprise environments.

Equity Statement At Compugen, we are committed to diversity, equity and inclusion. We actively recruit from all groups, including women, Indigenous people, persons with disabilities and members of visible minorities. We recognize the importance of removing barriers to participation and provide accommodation upon request to all applicants throughout the recruitment process. If you require an accommodation, our People & Culture representative will work with you to meet your needs in a confidential and respectful manner. We believe everyone deserves a seat at the table-and we are taking deliberate action to make this a reality.

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