Architecture Design & Data Strategy

• Lead the design and deployment of scalable, secure, and high-performing data solutions.

• Develop enterprise data strategies, including backup, storage, and recovery systems.

• Design and maintain conceptual, logical, and physical data models aligned with industry standards.

• Oversee ETL development and integration across multiple platforms and sources.

• Define future-state data architecture roadmaps aligned with digital transformation goals.

• Embed privacy-by-design and security-by-design into all data architectures.

Governance & Artifact Management

• Establish and enforce data governance policies and standards (e.g., FIPPA, PIPEDA).

• Maintain enterprise data asset inventories, metadata, and taxonomies.

• Develop and oversee Master Data Management (MDM) practices.

• Collaborate with security, privacy, and risk teams to embed data retention, classification, and access controls.

Collaboration & Communication

• Act as the key liaison between business, IT, analytics teams, and vendors.

• Partner with solution architects to create and maintain high-quality architecture artifacts.

• Present data architecture solutions at review boards and stakeholder meetings.

• Provide input during vendor evaluations, contract negotiations, and data-related RFPs.

Evaluation & Problem-Solving

• Assess and recommend emerging technologies for data management and integration.

• Conduct code reviews, performance assessments, and gap analysis across systems.

• Evaluate cloud-native and hybrid platforms for scalability, cost, and sustainability.

• Support data migration and modernization activities, ensuring minimal disruption.

Project Planning & Guidance

• Provide architectural guidance and mentorship to data professionals.

• Champion best practices in data lifecycle management.

• Define cutover and migration strategies that minimize risks.

Qualifications

• Bachelor’s degree in Computer Science, IT, Data Science, or related discipline (or equivalent experience).

• Professional certifications in data architecture or related domains (e.g., CDMP, TOGAF) are an asset.

• 7+ years of hands-on experience in data architecture, including relational, dimensional, and NoSQL modeling.

• Strong expertise in database management, data warehousing, ETL, and cloud platforms (Azure/AWS).

• Familiarity with BI and visualization tools (e.g., Power BI).

• Solid experience with data governance, metadata, and data quality management.

• Strong knowledge of enterprise IT ecosystems (applications, middleware, infrastructure, networking).

• Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.

• Detail-oriented problem solver with strong analytical and critical-thinking skills.

Working Conditions

• Standard office environment with occasional high-demand periods.

• Flexible work arrangements (hybrid/remote may be available depending on project needs).

We’re an equal opportunity employer committed to increasing diversity and inclusion in today’s workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Minorities, women, LGBTQ candidates, and individuals with disabilities are encouraged to apply. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions.