Database Architect (Future Opportunity)

Orangutech; Canada; On-site; CAD 90,000 - 120,000; Full time

Job summary

Orangutech is looking for a Database Architect for a future opportunity to lead the modernization of their enterprise data ecosystem. This role involves assessing data flows, ensuring data integrity, and collaborating with IT leadership to align initiatives with strategic objectives. Responsibilities include inventorying systems, developing strategies for data cleansing, and evaluating legacy systems for migration. The position is remote, based in Canada, with a contract starting in April 2026.

Qualifications

• Experience in assessing and modernizing data ecosystems.
• Strong analytical skills for documenting data infrastructure.
• Knowledge of data integration patterns and optimization.

Responsibilities

• Conduct inventory of systems storing organizational data.
• Map data flows and integration patterns.
• Assess data accuracy and provide recommendations.
• Develop data cleansing and reconciliation strategy.
• Identify dependencies impacting data management.
• Assess legacy systems for migration readiness.
• Collaborate to align data initiatives with strategic objectives.

Job description

Database Architect (Future Opportunity)

Department: Public Service Alliance of Canada (PSAC)

Employment Type: Contract / Temp

Location: Canada

Description

Location: Ottawa, ON (Remote)

Contract Start Date: End of April 2026

The Public Service Alliance of Canada (PSAC) is seeking an experienced Data Architect to lead the assessment and modernization of its enterprise data ecosystem. The successful candidate will be responsible for analyzing, documenting, and improving PSAC’s data infrastructure to support reliable, secure, and efficient information management across the organization.

Key Responsibilities

• Conduct a comprehensive inventory of systems that store or process critical organizational data.
• Map data flows and integration patterns between existing systems, identifying opportunities for optimization and standardization.
• Assess data accuracy, completeness, and integrity, providing recommendations for improvement. Evaluate the current APIs, middleware, and scheduled integrations in use across platforms.
• Develop and recommend a data cleansing and reconciliation strategy to ensure consistency and quality.
• Identify and document technical and business dependencies impacting data management and integration.
• Assess legacy VM-based systems for readiness and suitability for migration to modern SaaS and PaaS infrastructures.
• Collaborate with IT leadership and business stakeholders to align data architecture initiatives with strategic objectives.