Position DescriptionCGI is more than just an IT consulting company; we are a global organization offering a world of opportunities. Our culture is built on ownership, collaboration, respect, and belonging, where every professional is encouraged to grow, excel, and make an impact. Our benefits include a share purchase program, profit sharing, wellness credits, training and development programs, and adaptable work schedules and locations.These are exciting times at CGI, and we are looking for experienced professionals to innovate with us. If you thrive in environments where you can delight clients by delivering scalable, secure, and future‑ready solutions to complex technical challenges, we want to hear from you!Our BC offices are building another new team! This exciting initiative will bring together highly skilled data scientists, architects and developers to deliver an innovative solution to a client in the Public sector. We are seeking an experienced Senior Data Architect with deep expertise in enterprise data architecture, Microsoft cloud data technologies, data governance, integration, advanced analytics, and AI enablement. This key role supports multiple concurrent initiatives, ranging from Master Data Management (MDM) and Data Governance (DG) to analytics modernization, computer vision & AI, digital service modernization, identity and access redesign, and enterprise integration.This architect applies deep technical expertise and executes hands‑on solution delivery, ensuring data is consistently designed, governed, integrated, secured, and effectively leveraged across the organization.ResponsibilitiesDefine and maintain the end‑to‑end enterprise data architecture, ensuring alignment across operational systems, analytics platforms, AI/ML environments, and digital applicationsDevelop and own conceptual, logical, and physical data models across multiple domains and business areasEstablish and socialize architecture standards, patterns, frameworks, and reusable componentsProduce detailed data specifications, lineage models,



transformation mapping, and integration patternsDefine entity models, survivorship rules, match/merge logic, hierarchy management, and golden record strategiesLead integration design between the MDM hub and upstream/downstream systems using Azure‑native patternsDevelop standards for metadata management, data classification, lineage, cataloging, retention, quality, and issue managementDevelop and implement data quality rules, assessment frameworks, monitoring dashboards, and remediation strategiesConduct and oversee data profiling, data cleansing, data migration planning, and risk‑based prioritizationArchitect data environments that support advanced analytics, ML pipelines, MLOps, and computer vision workflowsEnsure analytic and AI workloads have robust, governed, and trusted data foundationsWork with data scientists and ML engineers to define data flows, feature stores, orchestration patterns, and model‑serving integrationsDesign modern Azure‑first data integration patterns, including: Event‑driven architecture, API‑based data exchange, Streaming and real‑time patterns, ETL/ELT with Azure Data Factory, Fabric, Synapse PipelinesEnsure all application modernization efforts align with enterprise data and governance standardsRequired Qualifications To Be Successful In This Role8+ years of experience in data architecture, including large‑scale enterprise data solutionsDeep experience in data governance, data strategy, metadata frameworks, and information architectureExpert knowledge of Azure Data ServicesHands‑on experience with data profiling, data cleansing, data mapping,



and data migrationExpert‑level ability to translate business requirements into enterprise data models, specifications, lineage, and integrationsStrong experience developing data‑driven solutions, dashboards, and analytics productsExperience with complex data integrations across multi‑system environmentsStrong written and diagramming skills (conceptual, logical, flows, lineage)Experience delivering solutions within Agile sprint cyclesDesired SkillsExperience with MDM platformsExperience with data warehousing architectures and dimensional modelingKnowledge of SQL Server architecture, T‑SQL querying, and performance optimizationFamiliarity with BI tools: Power BI (preferred) Cognos, MicroStrategy, Tableau, etc.Experience supervising or mentoring technical teamsProfessional AttributesExcellent communication and facilitation skills, comfortable interacting with executives and technical teamsStrong problem‑solving, decision‑making, and analytical thinkingAbility to manage multiple concurrent initiatives in fast‑paced environmentsAbility to work independently and collaboratively with cross‑functional teamsResilient, adaptable, and skilled in navigating ambiguityCompensationCGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes various factors including but not limited to skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $85,000 - $160,000.Equal‑Opportunity EmployerAs an equal‑opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter. To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.#J-18808-Ljbffr

📌 Senior Data Architect – Enterprise Data, Governance & Ai - $85,000 - $160,000 A Year (Toronto)
🏢 CGI
📍 Toronto