5 results for Data Architect in Toronto, ON

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

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

Database Analyst

Thornhill, ON
onsite
Permanent
50000 - 76000 CAD / Yearly
We are looking for a Database Analyst to support data-driven decision-making for a service-focused organization in Thornhill, Ontario. This role combines database expertise with business insight to turn complex information into clear reporting, campaign analysis, and practical recommendations. The successful candidate will work closely with cross-functional teams to interpret data, evaluate performance, and develop meaningful analytics solutions. Responsibilities: • Analyze marketing and customer data to identify trends, measure campaign results, and provide actionable business insights. • Build, maintain, and optimize database queries and data sets to support reporting, segmentation, and performance analysis. • Develop dashboards and visual reports using tools such as Power BI or Tableau to communicate findings effectively to stakeholders. • Partner with business teams to translate analytical needs into structured reporting and data solutions that support decision-making. • Design and assess tests and experiments to evaluate initiatives, validate assumptions, and improve future campaign performance. • Use programming and database tools to manage large enterprise data environments and ensure reliable access to information. • Prepare clear summaries and presentations that connect analytical results to business objectives for both technical and non-technical audiences. • Support data initiatives involving SQL-based environments, including work completed through SQL Server Management Studio and related platforms when required.
2026-07-28T00:00:00Z

Enterprise Architect

Toronto, ON
onsite
Temporary
80 - 90 CAD / Hourly
We are looking for an experienced Enterprise Architect to join a contract opportunity focused on shaping and advancing the organization's long-term technology strategy. This role will play a key part in defining enterprise architecture standards, cloud adoption strategies, technology roadmaps, and modernization initiatives across a complex enterprise environment. The successful candidate will collaborate closely with business and technology leaders to ensure solutions align with architectural principles, governance frameworks, and future-state technology objectives. Responsibilities:• Define, maintain, and evolve enterprise technology architecture across cloud, infrastructure, platforms, integration, and core technology domains.• Develop and maintain architecture principles, standards, reference architectures, design patterns, and technology roadmaps.• Provide architectural oversight and governance for technology initiatives, ensuring alignment with enterprise standards and strategic objectives.• Lead and participate in architecture review boards, governance forums, and technology planning discussions.• Evaluate emerging technologies and provide recommendations based on business value, feasibility, scalability, and architectural fit.• Guide cloud strategy and adoption initiatives, including cloud platforms, hybrid environments, landing zones, and enterprise cloud patterns.• Partner with business, security, data, engineering, infrastructure, and application teams to support well-architected technology solutions.• Assess solution architectures and provide recommendations to ensure compliance with enterprise standards and long-term technology direction.• Support strategic planning, investment decisions, and major transformation initiatives by identifying architectural risks, impacts, and opportunities.• Mentor architects and technical teams while promoting architecture best practices across the organization.
2026-08-18T00:00:00Z

Data Warehouse Application Support

Thornhill, ON
onsite
Permanent
65000 - 80000 CAD / Yearly
We are looking for a Data Warehouse Application Support specialist to join a service-focused team in Thornhill, Ontario. This role supports data warehouse operations, reporting, and analytical processes while helping ensure data reliability and timely issue resolution. The successful candidate will combine strong technical expertise with clear communication, sound documentation practices, and the ability to work effectively in an Agile environment. Responsibilities:• Support day-to-day operation of data warehouse applications by investigating issues, resolving defects, and maintaining stable system performance.• Develop and enhance Python-based scripts and processes to automate support activities, data handling, and operational tasks.• Write and optimize SQL queries across Oracle and SQL Server environments to troubleshoot data issues and validate results.• Build, update, and maintain dashboards, reports, and Power BI deliverables that support business visibility and decision-making.• Monitor ETL workflows, including SSIS-related processes, to identify failures, coordinate fixes, and improve data flow reliability.• Produce clear technical documentation for support procedures, reporting logic, recurring issues, and resolution steps.• Collaborate with cross-functional teams in Agile delivery settings, participating in planning, tracking, and continuous improvement activities using tools such as JIRA.• Contribute to quality assurance efforts by validating outputs, testing changes, and helping maintain high data accuracy standards.• Provide project-based support and take the lead on assigned initiatives when required, ensuring deadlines and service expectations are met.
2026-07-28T00:00:00Z