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8 results for Data Architect jobs

Data Architect
  • Vancouver, BC
  • onsite
  • Permanent
  • 120000 - 140000 CAD / Yearly
  • <p>This is a full-time position for a data architect in Vancouver, BC. In this role, you will work with a small team of technical professionals, and you’ll be working on a wide range of software systems. This company operates in the financial services industry, and you’ll be working with several data feeds and information systems. Your goal will be to design and deploy a data governance framework. As this is a smaller team, you’ll be hands-on with the day-to-day operation, support and enhancement of the data platforms.</p><p><br></p><p>If you are a data professional who enjoys getting involved with various aspects of the systems, then this could be a great job for you. You’ll be the person responsible for integrating the data connections for several back-office information systems, and bringing all the data into a coherent, unified data framework. </p><p><br></p><p>This is a newly created role, and you’ll involved in the decision-making to select new tools and technologies to make the business more efficient. </p><p><br></p><p>This is a hybrid position, and you’ll be working primarily in the Vancouver office, which is centrally located close to several transit lines. </p><p><br></p><p><strong>HOW TO APPLY</strong></p><p><br></p><p>A bit about myself - my name is Nathan Wawruck, and I am a recruitment consultant based in Vancouver, BC. I have over a decade of matching technology professionals to job opportunities, and I am always looking to connect with like-minded people in the Vancouver area.</p><p><br></p><p>If you&#39;re interested in pursuing this role, please apply to this posting online, and contact me for an initial discussion. This is a chance for us to discuss specifics, such as the company name, the key hiring managers, and the more in-depth job requirements. This is also a great opportunity to talk about your overall career goals and preferences. We can even discuss other potential roles which may fit what you&#39;re looking for. Please find me on LinkedIn by searching my name: Nathan Wawruck</p>
  • 2026-08-17T00:00:00Z
Data Scientist
  • Cambridge, ON
  • onsite
  • Temporary
  • 55.4135 - 64.163 CAD / Hourly
  • We are looking for a Data Scientist to join an automotive organization in Cambridge, Ontario on a Long-term Contract basis. This position centres on developing statistical and machine learning solutions that connect market information with sales and inventory performance. The successful candidate will combine strong analytical thinking with hands-on Python modelling to generate actionable business insights. You will work with modern data and BI tools to evaluate model effectiveness and strengthen data-driven decision-making.<br><br>Responsibilities:<br>• Design and refine statistical and machine learning models that link market trends with sales and inventory analysis.<br>• Analyze data pipelines and reporting inputs to ensure reliable information is available for modelling and performance evaluation.<br>• Build, test, and interpret models in Python using notebook-based workflows to support business analysis.<br>• Measure model outcomes using appropriate performance indicators and recommend adjustments to improve analytical value.<br>• Partner with business and analytics stakeholders to translate commercial questions into practical modelling approaches.<br>• Use BI and low-code analytical tools to present findings in a clear and decision-focused manner.<br>• Explore large-scale datasets using relevant big data and cloud technologies to uncover patterns and support forecasting activities.
  • 2026-08-12T00:00:00Z
Data Scientist
  • North York, ON
  • onsite
  • Permanent
  • 100000 - 115000 CAD / Yearly
  • <p><strong><u>This job posting is for a current vacancy with our client.</u></strong></p><p><br></p><p>We are seeking an experienced Data Scientist for our client&#39;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. </p><p><br></p><p>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.</p><p><br></p><p>Key Responsibilities:</p><p>• Develop, implement, and operationalize machine learning models and analytical solutions within Databricks to address business needs.</p><p>• Create and support scalable data pipelines using Apache Spark, including PySpark or Scala, to process large and diverse datasets efficiently.</p><p>• Examine both structured and unstructured data sources to identify trends, generate forecasts, and support data-driven decision-making.</p><p>• Partner with engineers, analysts, and business stakeholders to define objectives and translate them into practical data science solutions.</p><p>• Use Lakehouse principles in Databricks to manage data ingestion, transformation, storage, and model deployment in a streamlined manner.</p><p>• Apply disciplined machine learning practices across feature creation, model training, testing, deployment, and ongoing performance monitoring.</p><p>• Produce dashboards, visual summaries, and reports that present analytical results clearly for technical and non-technical audiences.</p><p>• Maintain strong standards for data accuracy, governance, security, and compliance throughout analytics and machine learning workflows.</p><p>• Improve the performance, scalability, and cost effectiveness of Databricks processing and model execution environments.</p>
  • 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.<br><br>Responsibilities:<br>• Analyze marketing and customer data to identify trends, measure campaign results, and provide actionable business insights.<br>• Build, maintain, and optimize database queries and data sets to support reporting, segmentation, and performance analysis.<br>• Develop dashboards and visual reports using tools such as Power BI or Tableau to communicate findings effectively to stakeholders.<br>• Partner with business teams to translate analytical needs into structured reporting and data solutions that support decision-making.<br>• Design and assess tests and experiments to evaluate initiatives, validate assumptions, and improve future campaign performance.<br>• Use programming and database tools to manage large enterprise data environments and ensure reliable access to information.<br>• Prepare clear summaries and presentations that connect analytical results to business objectives for both technical and non-technical audiences.<br>• 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
Network Architect
  • Calgary, AB
  • onsite
  • Temporary
  • 0 - 0 CAD / Yearly
  • <p>Our client is undertaking a major enterprise-wide <strong>network transformation and modernization initiative</strong>, including large-scale network upgrades, data centre migration, and modernization of network and security infrastructure. We are seeking a highly experienced <strong>Senior Network Architect</strong> to provide architectural leadership and technical expertise across this significant transformation program.</p><p><br></p><p>The successful candidate will work closely with senior technology and cybersecurity stakeholders to design, modernize, and support a large-scale enterprise network environment.</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead network architecture and design activities for large-scale <strong>enterprise network transformation and modernization projects</strong>.</li><li>Develop and review network architecture, designs, standards, and technical solutions.</li><li>Participate in <strong>design workshops, architecture reviews, and technical support meetings</strong>.</li><li>Provide technical leadership for <strong>data centre migration and network modernization initiatives</strong>.</li><li>Design and modernize <strong>LAN, WAN, and SD-WAN</strong> environments across a complex enterprise network.</li><li>Evaluate and modernize existing network equipment, technologies, and infrastructure.</li><li>Collaborate closely with <strong>network security teams</strong> to ensure secure and resilient network architecture.</li><li>Provide architectural guidance across enterprise-level network and security initiatives.</li><li>Support implementation teams with architecture decisions, technical direction, and troubleshooting.</li><li>Work with multiple stakeholders and technology teams to ensure successful delivery of network transformation initiatives.</li></ul><p><br></p>
  • 2026-08-12T00:00:00Z
Data Warehouse Application Support
  • Thornhill, ON
  • onsite
  • Permanent
  • 65000 - 80000 CAD / Yearly
  • <p>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.</p><p><br></p><p>Responsibilities:</p><p>• Support day-to-day operation of data warehouse applications by investigating issues, resolving defects, and maintaining stable system performance.</p><p>• Develop and enhance Python-based scripts and processes to automate support activities, data handling, and operational tasks.</p><p>• Write and optimize SQL queries across Oracle and SQL Server environments to troubleshoot data issues and validate results.</p><p>• Build, update, and maintain dashboards, reports, and Power BI deliverables that support business visibility and decision-making.</p><p>• Monitor ETL workflows, including SSIS-related processes, to identify failures, coordinate fixes, and improve data flow reliability.</p><p>• Produce clear technical documentation for support procedures, reporting logic, recurring issues, and resolution steps.</p><p>• Collaborate with cross-functional teams in Agile delivery settings, participating in planning, tracking, and continuous improvement activities using tools such as JIRA.</p><p>• Contribute to quality assurance efforts by validating outputs, testing changes, and helping maintain high data accuracy standards.</p><p>• Provide project-based support and take the lead on assigned initiatives when required, ensuring deadlines and service expectations are met.</p>
  • 2026-07-28T00:00:00Z
Lead Data Engineer
  • North Vancouver, BC
  • onsite
  • Permanent
  • 130000 - 150000 CAD / Yearly
  • <p>In this hands-on Lead Data Engineer position, you will be responsible for overseeing how data is connected, moved, and delivered across a complex enterprise technology environment within the transportation space. You will lead the teams and platforms that enable data to be collected from multiple systems, transformed reliably, and delivered as trusted data products that support reporting, analytics, and day‑to‑day business operations.</p><p><br></p><p>Our client is headquartered in North Vancouver, British Columbia. The role is onsite initially to support onboarding and collaboration, and after the first 90 days, it qualifies for an optional hybrid work arrangement under the company’s flexible work policy.</p><p><br></p><p>You will lead a small group of data engineers and integration specialists while also providing technical direction on architecture, tooling, and delivery practices. The role works closely with business leaders, IT partners, and vendors to ensure data solutions are scalable, secure, and aligned with evolving business needs.</p><p><br></p><p>This is a full‑time, permanent opportunity offering a competitive compensation package, paid time off, and comprehensive extended health and dental benefits.</p><p><br></p><p>A key attraction of this role is the opportunity to take ownership of a modern Azure‑based data environment, influencing both the technical roadmap and how data is used across the organization.</p><p><br></p><p><strong>HOW TO APPLY</strong></p><p><br></p><p>A bit about myself - my name is Nathan Wawruck, and I am a recruitment consultant based in Vancouver, BC. I have over a decade of matching technology professionals to job opportunities, and I am always looking to connect with like-minded people in the Vancouver area.</p><p><br></p><p>If you&#39;re interested in pursuing this role, please apply to this posting online, and contact me for an initial discussion. This is a chance for us to discuss specifics, such as the company name, the key hiring managers, and the more in-depth job requirements. This is also a great opportunity to talk about your overall career goals and preferences. We can even discuss other potential roles which may fit what you&#39;re looking for. Please find me on LinkedIn by searching my name: Nathan Wawruck</p>
  • 2026-07-21T00:00:00Z
Senior Data Engineer
  • Calgary, AB
  • onsite
  • Temporary
  • 38 - 44 CAD / Hourly
  • <p>Our client based in Edmonton is seeking a hands-on Data Engineer for a 3-month contract to support a reporting modernization initiative. This role will focus on supporting complex reporting requirements across multiple programs and business units while developing a more scalable and centralized reporting environment.</p><p><br></p><p>The successful candidate will initially take ownership of existing monthly reporting processes, gain an understanding of the current reporting environment, and support knowledge transfer activities as needed. Once reporting has been stabilized, this individual will assess existing data sources, reporting workflows, databases, and system architecture to identify opportunities for consolidation, automation, and reporting improvements.</p><p><br></p><p>Working closely with leadership, this person will help establish a centralized reporting framework across multiple SQL-based systems, design and implement integrations between platforms, improve data accessibility and governance, and support the development of Power BI reporting solutions. </p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Take ownership of recurring operational and regulatory reporting requirements and ensure monthly deliverables are completed accurately and on time.</li><li>Review existing reporting processes, data sources, and workflows to identify opportunities for improvement.</li><li>Learn, support, and enhance existing Python-based reporting processes as required.</li><li>Map data across multiple systems and databases to support consolidation and reporting initiatives.</li><li>Design and implement a centralized reporting and data architecture.</li><li>Build and maintain integrations and APIs between business applications and reporting platforms.</li><li>Consolidate data from multiple SQL Server databases and develop scalable data models to support reporting and analytics.</li><li>Design, develop, and maintain Power BI dashboards and reporting solutions for business stakeholders.</li><li>Streamline and automate manual reporting processes to improve efficiency, consistency, and accuracy.</li><li>Partner with business leaders to gather requirements and translate business needs into practical reporting and data solutions.</li><li>Improve data quality, governance, accessibility, and reporting documentation.</li><li>Document data flows, reporting processes, and system architecture to support long-term sustainability.</li><li>Provide recommendations and a roadmap for future-state reporting, data management, and analytics capabilities.</li></ul>
  • 2026-08-14T00:00:00Z