4 results for Information Architect in Toronto, ON

Enterprise Architect

Toronto, ON
onsite
Temporary
85 - 100 CAD / Hourly
We are looking for an Enterprise Architect to join a long-term contract opportunity in Toronto, Ontario. This position is suited to an experienced architecture specialist who can connect business priorities with practical technical direction across enterprise and solution architecture. The successful candidate will bring strong cloud knowledge, particularly in AWS and Azure, and will be comfortable guiding stakeholders in complex corporate environments, ideally within the financial services sector. Responsibilities:• Translate business objectives into scalable solution designs and clear technical requirements that support enterprise goals.• Define architecture approaches across applications, cloud platforms, infrastructure, and integration patterns with a focus on reliability and long-term value.• Partner with business leaders, delivery teams, and technical specialists to align solution decisions with strategic priorities.• Contribute to architecture governance by shaping standards, reviewing designs, and helping maintain roadmaps across multiple technology domains.• Lead solution planning for cloud-based initiatives using AWS and Azure, ensuring designs reflect security, performance, and operational needs.• Provide architectural guidance independently across projects, driving progress from concept through implementation with minimal oversight.• Communicate recommendations and trade-offs effectively to senior stakeholders through presentations, workshops, and design discussions.• Support large-scale enterprise environments by creating practical, solution-focused architecture outcomes that fit complex organizational needs.
2026-09-02T00:00:00Z

Data Scientist

North York, ON
onsite
Permanent
100000 - 115000 CAD / Yearly
This job posting is for a current vacancy with our client. We are seeking an experienced Data Scientist for our client's growing Analytics team. The Data Scientist will be based in Toronto, Ontario, where they will turn complex data into practical insights that support business decisions. A core focus of this role includes machine learning expertise, data engineering capability, and analytical thinking to develop scalable solutions in a Databricks environment. You will work closely with technical and business teams to build reliable models, improve data workflows, and communicate findings in a clear and meaningful way. Key Responsibilities:• Develop, implement, and operationalize machine learning models and analytical solutions within Databricks to address business needs.• Create and support scalable data pipelines using Apache Spark, including PySpark or Scala, to process large and diverse datasets efficiently.• Examine both structured and unstructured data sources to identify trends, generate forecasts, and support data-driven decision-making.• Partner with engineers, analysts, and business stakeholders to define objectives and translate them into practical data science solutions.• Use Lakehouse principles in Databricks to manage data ingestion, transformation, storage, and model deployment in a streamlined manner.• Apply disciplined machine learning practices across feature creation, model training, testing, deployment, and ongoing performance monitoring.• Produce dashboards, visual summaries, and reports that present analytical results clearly for technical and non-technical audiences.• Maintain strong standards for data accuracy, governance, security, and compliance throughout analytics and machine learning workflows.• Improve the performance, scalability, and cost effectiveness of Databricks processing and model execution environments.
2026-08-18T00:00:00Z

Data Engineer

Guelph, ON
onsite
Permanent
90000 - 110000 CAD / Yearly
Robert Half is looking to hire a Data Engineer for a current opening with an organization that is rapidly expanding. Please take a look at the summarized information below and apply if you are a good fit! Role: Data EngineerLocation: KW RegionIndustry: ConfidentialCompensation: $90k to $110k + Bonus + Vacation / PTO + Strong Benefits + Great work culture!Requirements:• Data engineering and pipelines: Hands-on experience with Microsoft Fabric, Lakehouse, Data Factory, Dataflows Gen2, notebook development, enterprise data integration, pipeline orchestration, and cloud-based analytics architectures. • SQL and data modelling: Proficiency in data transformation, dimensional models, KPI implementation, curated datasets, performance tuning, and optimization. • Python-based development: Utilization of Python for data processing, workflow automation, validation, quality controls, and operational data engineering. • Reporting and governance enablement: Support for Power BI semantic models, curated datasets, data governance, lineage, operational documentation, and reliable and auditable data operations. • Strategic fit: Alignment with enterprise reporting modernization, Microsoft Fabric expansion, and stronger data governance and analytics capabilities.
2026-08-20T00:00:00Z

Cloud Security Engineer

Oakville, ON
onsite
Temporary
60 - 75 CAD / Hourly
We are looking for a Cloud Security Engineer to support secure cloud initiatives for an organization in the Energy and Natural Resources sector in Oakville, Ontario. This Long-term Contract opportunity is suited to a hands-on specialist who can strengthen cloud security posture while contributing to platform design, automation, and operational reliability. The role blends technical delivery with governance, requiring close partnership across engineering, infrastructure, and business teams to build and maintain resilient cloud environments. Responsibilities: • Design and improve secure cloud architecture patterns that align with operational needs, compliance expectations, and platform scalability goals. • Implement and manage cloud security controls across infrastructure, applications, and services to reduce risk and strengthen governance. • Administer identity and access strategies by refining permissions, access models, and authentication practices across cloud environments. • Build and maintain infrastructure automation using configuration management and infrastructure-as-code approaches to promote consistency and efficiency. • Embed security practices into deployment pipelines and engineering workflows to support DevSecOps delivery and application protection. • Support containerized and Kubernetes-based platforms by applying security standards, monitoring controls, and platform hardening measures. • Troubleshoot cloud networking, connectivity, and server-related issues while helping maintain stable and secure service performance. • Collaborate with technical stakeholders using tools such as Jira to plan work, track progress, and resolve security and platform concerns. • Provide technical guidance during deployments, platform enhancements, and ongoing operational support within cloud-hosted environments.
2026-09-02T00:00:00Z