Position OverviewThe Senior Data & AI Architect is a senior technical authority within Ontario One Call’s Data & Analytics function, reporting to the Director of Data Analytics & Digital Transformation. This role is responsible for defining and governing enterprise data, analytics, and AI architecture standards that support scalable data platforms, semantic layers, intelligent systems, and AI‑enabled use cases across the organization. The Senior Data & AI Architect operates within the strategic direction and governance priorities established by the Director, providing centralized design authority and architectural guardrails. The role focuses on architecture, standards, and risk management—guiding solution design, reviewing complex initiatives, and ensuring consistency, compliance, and long‑term sustainability across data and AI solutions, while enabling engineering and analytics teams to deliver effectively.This position is located at the Guelph office at 104 Cooper Drive, Guelph. Ontario One Call has a hybrid work model with staff dividing their workweek between in‑office and at‑home work per company policy.Candidates must be able to reliably commute to the workplace during scheduled hours. Either a valid driver’s license or access to reliable transportation is required.Primary ResponsibilitiesLed enterprise data and analytics architecture patterns for enterprise data ingestion, transformation, and serving layers using Microsoft Fabric, Azure Data Factory, and related platforms.Establish standards for batch and streaming data workflows aligned with enterprise architecture and integration principles.Define dimensional data modeling standards (fact and dimension structures) to support analytics, reporting, and AI workloads.Set expectations for data quality, validation, lineage, and observability across data pipelines.Guide performance, scalability, and reliability design decisions to support enterprise‑scale workloads.Led architecture patterns for machine learning and AI‑enabled solutions aligned with enterprise AI standards.Establish feature engineering and feature store design standards to support consistent training and inference.Guide adoption of AI orchestration patterns, including agent‑based and workflow‑driven architectures.Define model lifecycle standards, including versioning, auditability, traceability, and monitoring.Analytics & Semantic Layer ArchitectureLed enterprise semantic layer design standards in Microsoft Fabric and Power BI,



including measures, calculated fields, and KPI structures.Ensure KPI logic and metric definitions are consistently implemented across analytics assets.Establish architectural patterns supporting regulatory reporting, operational performance analytics, and executive decision intelligence.Provide architectural guidance for predictive analytics and advanced modeling initiatives.Data Governance, Quality & Compliance ArchitectureMetadata management and classification (Microsoft Purview)Role‑based access control (RBAC)Data lineage and traceabilityData quality monitoring and validationEnsure datasets supporting regulatory reporting, executive KPIs, and AI decisioning meet audit and compliance requirements.Identify systemic data quality or governance risks and drive architectural remediation strategies.Platform Oversight & Delivery AlignmentProvide architectural oversight during sprint planning and delivery execution in collaboration with delivery leadership.Guide resolution of systemic pipeline, data, or platform performance issues from an architectural perspective.Ensure approved architectural designs are implemented correctly and identify deviations early.Contribute to architecture reviews, design documentation, and technical standards.Collaboration & Continuous Architecture EvolutionPartner with analytics, data science, engineering, and business teams to translate requirements into scalable architectural solutions.Drive continuous improvement of data and AI architecture standards, patterns, and tooling.Stay current with emerging practices in data architecture, AI platforms, and MLOps.Maintain clear, reusable architectural documentation to support governance, audit readiness, and knowledge sharingQualificationsDemonstrated experience designing, reviewing, and governing enterprise‑scale AI/ML systems, including LLM‑based architectures and retrieval‑augmented generation (RAG) patterns.Strong understanding of LLM behavior, non‑deterministic systems, and AI failure modes, sufficient to assess risk, architecture quality,



and suitability for regulated environments.Experience defining architectural standards for MLOps / LLMOps, including model lifecycle management, evaluation approaches, and operational governance.Experience establishing architectural patterns for CI/CD pipelines supporting data and AI platforms, in collaboration with engineering and platform teams.Robust technical proficiency sufficient to evaluate, guide, and review engineering implementations involving Python‑based systems, APIs, containerized workloads, and cloud‑native architectures.Experience defining architectural patterns for AI observability, monitoring, and evaluation, including traceability, logging, and performance assessment.Strong background in AI security, identity, and access control architecture, including OAuth2, OIDC, SAML, and OWASP‑aligned practices.Experience acting as a senior technical authority in regulated, academic, or public‑sector environments, providing design guidance, architectural review, and risk‑aware oversight.Education & ExperienceBachelor’s degree in Artificial Intelligence, Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field (Masters Preferred); or a relevant discipline or combination of post‑secondary education and experience.Minimum of 8 years of experience in data, analytics, or AI engineering roles, with demonstrated progression into enterprise architecture or technical design authority responsibilities.Professional Development (Preferred)Formal training or certification in one or more of the following areas is an asset:Data Architecture or Analytics ArchitectureAI governance, responsible AI, or model risk managementRewardsStarting salary of $130,000 - $150,000/annum dependent on qualifications and experience, with room to growA comprehensive company‑paid benefit plan through Desjardins Life (at 3 months of service)CAAT DBPlus Pension Plan with Contribution Choice and Company Match (at 3 months of service)10 personal emergency days per yearBonus PotentialThe salary advertised is reflective of a portion of the full pay grade range and is targeted at experienced, knowledgeable and skilled candidates.In accordance with the Human Rights Code and the Accessibility for Ontarians with Disabilities Act, Ontario One Call is pleased to offer accommodations for job applicants with disabilities, if you require accommodations, please advise by contacting us.#J-18808-Ljbffr

📌 Senior Data And Ai Architect - C$130,000 - C$150,000 A Year (Courtice)
🏢 Ontario One Call
📍 Courtice