6 results for Cloud Architect jobs

IT Architect

Georgetown, ON
onsite
Permanent
120000 - 150000 CAD / Yearly
We are looking for an experienced IT Architect to design and guide resilient infrastructure solutions for a wholesale distribution organization operating in Georgetown, Ontario. This position focuses on shaping network, server, cloud, and security architecture that supports manufacturing and operational technology environments. The successful candidate will work closely with both executive leaders and technical teams to align architecture decisions with business priorities, reliability needs, and long-term scalability. Responsibilities: • Develop and maintain enterprise architecture plans for network, infrastructure, cloud, and security environments that support manufacturing operations. • Partner with senior business leaders, engineering teams, and operational stakeholders to translate strategic goals into practical technology roadmaps. • Design integrated solutions across on-premises and cloud platforms, with a strong emphasis on Microsoft Azure and compatibility with existing enterprise systems. • Lead architectural decisions involving Cisco networking, firewalls, server and storage platforms, VMware virtualization, and telecommunications infrastructure. • Provide technical direction for environments that interact with industrial systems such as SCADA platforms, PLCs, historians, and other operational technology components. • Evaluate infrastructure performance, availability, and security risks, then recommend improvements that strengthen resilience and operational continuity. • Establish architecture standards, configuration governance, and implementation guidance to support consistent delivery across complex environments. • Support major infrastructure initiatives, including modernization and migration efforts, while minimizing disruption to manufacturing and distribution operations.
2026-06-11T00:00:00Z

Purview Architect

Toronto, ON
onsite
Permanent
130000 - 145000 CAD / Yearly
We are looking for a Purview Architect to join a consultancy team supporting clients in Ontario. In this role, you will lead the design and delivery of Microsoft 365 security, compliance, and modern work solutions, with a strong emphasis on Microsoft Purview across enterprise collaboration environments. The successful candidate will combine deep technical expertise with strong client engagement skills to guide architecture decisions, support implementation, and help organizations strengthen governance and information protection practices. Responsibilities:• Design and implement Microsoft Purview solutions across SharePoint, OneDrive, Teams, and Exchange to support information protection, compliance, and eDiscovery objectives.• Advise clients on Microsoft 365 architecture, including security, governance, and deployment considerations for enterprise-scale environments.• Lead planning and rollout activities for technologies such as Purview, Defender, Intune, and related Microsoft security and compliance tools.• Translate business needs into practical technical solutions and oversee delivery from discovery and design through implementation and adoption.• Support governance and compliance initiatives by defining controls, policies, and operating approaches aligned with client requirements.• Build strong client relationships by presenting recommendations, explaining risks, and communicating project updates to technical and executive stakeholders.• Contribute to project leadership by coordinating team efforts, reviewing work quality, and mentoring colleagues across engagements.• Assist with proposal development, solution strategy, and other business development activities for prospective client opportunities.
2026-06-25T00:00:00Z

Data Scientist

Cambridge, ON
remote
Contract / Temporary
60 - 75 CAD / Hourly
We are looking for a Data Scientist to support market and performance analytics within the automotive sector in Cambridge, Ontario. This Long-term Contract opportunity is well suited to someone who combines strong statistical thinking with practical model-building experience and can translate complex data into meaningful business insight. The role focuses on analyzing market, sales, and inventory information to improve decision-making, while working with tools such as Python, Jupyter, Alteryx, and low-code BI platforms. Responsibilities: • Design and refine statistical models that connect market indicators with sales and inventory trends to generate actionable analysis. • Examine data pipelines and source relationships to ensure inputs are reliable, consistent, and suitable for modelling activities. • Build and test analytical solutions in Python, using notebook-based workflows to explore patterns, validate assumptions, and assess results. • Evaluate model effectiveness through appropriate performance measures and recommend adjustments to strengthen analytical outcomes. • Partner with business and analytics stakeholders to shape data-driven approaches that support reporting and strategic planning. • Apply machine learning techniques where appropriate to enhance forecasting, segmentation, or performance analysis needs. • Use Alteryx and business intelligence tools to prepare data, streamline analysis, and present findings in an accessible format. • Communicate technical observations and modelling results clearly to support informed operational and commercial decisions.
2026-06-17T00:00:00Z

Data Scientist

North York, ON
onsite
Permanent
100000 - 120000 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.
2026-06-07T00:00:00Z

Cyber Security Engineer

Toronto, ON
remote
Contract / Temporary
80 - 95 CAD / Hourly
We are looking for a Cyber Security Consultant to join a contract opportunity in Toronto, Ontario. This role will focus on evaluating security posture, identifying gaps, and driving remediation efforts related to a recently acquired business while quickly becoming effective in a complex technical environment. The successful candidate will bring strong Azure cloud security expertise, work closely with engineering and DevOps teams, and maintain thorough documentation to support ongoing internal follow-through. The candidate must have extensive experience conducting security assessments and audits and providing recommendations. This is a fully remote 6 month contract role looking for an individual available immediately. Responsibilities:• Conduct comprehensive security reviews of cloud and application environments to identify risks, control gaps, and remediation priorities.• Assess the acquired organization's security posture and provide practical recommendations that support due diligence and integration planning.• Implement corrective actions for identified vulnerabilities and weaknesses, with a focus on strengthening Azure-based environments.• Partner with engineering and DevOps teams to align security controls with technical realities and communicate required changes clearly.• Prepare detailed documentation of findings, recommendations, actions taken, and outstanding items to enable effective knowledge transfer.• Perform or support internal penetration testing activities to validate exposures and confirm the effectiveness of security measures.• Advise on compliance-related considerations and ensure security assessments reflect applicable organizational obligations.• Contribute to the onboarding and alignment of security tools where capacity allows, including reviewing existing platforms used by the acquired business.
2026-06-23T00:00:00Z

Data Engineer

Toronto, ON
onsite
Permanent
100000 - 120000 CAD / Yearly
Robert Half is working with a global, consumer‑facing organization that’s scaling its data platform to better support marketing, sales, and customer analytics. They’ve recently invested heavily in their data stack and are growing their Data Engineering team to meet rising demand from the business.This is an intermediate‑level role where you’ll work closely with marketing stakeholders, BI, and software engineering to deliver trusted, analytics‑ready data. What you’ll be doing<ul><li>Partner directly with Marketing and Sales teams to understand data requirements</li><li>Design and build data models that power dashboards and analysis</li><li>Build and maintain data pipelines end‑to‑end</li><li>Work with cloud data platforms to ensure performance and reliability</li><li>Collaborate closely with BI and software engineering teams</li></ul>Tech environment<ul><li>Cloud data warehouse (AWS‑based, Redshift‑style)</li><li>SQL & Python</li><li>dbt for data modelling</li><li>Fivetran (or similar) for ingestion</li><li>Airflow for orchestration</li><li>BI tooling (Looker‑type stack)</li><li>Strong Salesforce / marketing data footprint</li><li>(Marketing Cloud / CRM / customer data experience is highly relevant)</li></ul>
2026-06-25T00:00:00Z