Staff Engineer-Data Platform

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    "datePosted": "2026-04-28T04:00:00.000Z",
    "description": "<h2></h2>\n<p></p>\n<p>About Kinaxis</p>\n<p>Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!</p>\n<p> </p>\n<p>In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.</p>\n<p> </p>\n<p>Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today’s volatility and disruption. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers.</p>\n<h2></h2>\n<p>Location</p>\n<p>Ottawa and Toronto, Canada - Hybrid</p>\n<p>Other Canadian locations - Remote</p>\n<p>About the team</p>\n<p>The Data & Analytics team drives Kinaxis’ transformation into a data-driven organization. By designing and governing scalable, modern data ecosystems, we ensure reliable, high-quality, and accessible data that empowers decision-making across the company. Our expertise spans data integration, engineering, governance, business intelligence, and cloud cost optimization, enabling actionable insights, operational efficiency, and new business opportunities.</p>\n<h2></h2>\n<p>Salary Range</p>\n<p> Annual cash compensation ranges from $118,000 to $162,000, plus a discretionary 12% company bonus. The final offer within this range will reflect the successful candidate’s skills and experience. </p>\n<p>Vacancy Status</p>\n<p> This is an existing job vacancy </p>\n<p>What you will do</p>We are seeking a seasoned Staff Engineer, Data & Analytics to play a pivotal role in modernizing and advancing our data ecosystem. This cross-functional role encompasses a wide range of responsibilities, including data integration, data engineering, data modeling, business intelligence and observability. As part of your journey, you will work closely with business stakeholders and collaborate with team members across the organization. You will modernize internal legacy systems into a cloud-native, modern data stack while also crafting innovative data products and enabling data-driven decision- making across Kinaxis.Your work will support the foundation of Kinaxis' strategic data initiatives by ensuring the quality and reliability of data pipelines that impact operational decision-making and enabling new revenues streams for the organization.Finally, your ability to engage stakeholders, craft compelling data stories, and influence leadership willbe critical to your success in this role. Key responsibilities include the following:1.\n<strong>Modernization & Development:</strong>\n<ul>\n <li>Transition legacy systems to a cloud-native, modern data stack leveraging tools such as Informatica, Airflow, Postgres and modern technologies like Snowflake, dbt, BigQuery, Looker, CI/CD, Git, Databricks, PowerBI, Datadog and Grafana</li>\n <li>Build innovative, scalable, and reliable data products that support Kinaxis’ strategic goals</li>\n <li>Build and maintain both batch and stream-based data pipelines for a wide variety of use cases, including the analysis of application and infrastructure logging data</li>\n <li>Build and maintain complex application to application data connectors</li>\n <li>Implement and oversee rigorous data validation, cleansing, and error-handling mechanisms to maintain high data quality and reliability</li>\n <li>Stay up to date on the latest technology trends and best practices as they relate to your role.</li>\n</ul>\n<p>2.<strong> Collaboration & Solution Design:</strong></p>\n<ul>\n <li>Partner with internal business stakeholders from different business units and cross-functional teams to design and deliver tailored data solutions.</li>\n <li>Collaborate with peers specializing in FinOps, Data Architecture, Data Governance and</li>\n <li>Cloud Engineering to address diverse organizational needs.</li>\n <li>Troubleshoot complex data engineering challenges with a focus on scalability and reliability.</li>\n <li>Work collaboratively to prioritize tasks and deliver solutions in an agile environment.</li>\n <li>Mentor and train junior engineers</li>\n <li>Distill complex projects into bite-sized, actionable stories.</li>\n <li>Provide strategic oversight, lead large-scale initiatives. Help shape technical direction.</li>\n</ul>3. \n<strong>Insights & Enablement:</strong>\n<ul>\n <li>Develop robust data models and analytics solutions to drive actionable insights.</li>\n <li>Develop and maintain complex BI models and visually appealing reports/dashboards for executive review</li>\n <li>Champion data-driven decision-making by ensuring stakeholders have access to meaningful, high-quality data.</li>\n</ul>\n<p>4. <strong>Storytelling & Influence:</strong></p>\n<ul>\n <li>Deliver compelling presentations and narratives to engage stakeholders and influence leadership.</li>\n <li>Advocate for innovative data strategies that align with Kinaxis’ growth and innovation objectives.</li>\n</ul>\n<p> </p>\n<p>What we are looking for</p>\n<ul>\n <li>7+ years of hands-on experience in data engineering or analytics engineering, with a demonstrated history of owning and delivering production-grade data platforms at scale</li>\n <li>GCP expertise — deep, hands-on experience across core GCP services, including cloud-native storage architectures and compute</li>\n <li>Databricks & Lakehouse architecture — practical experience designing and operating lakehouse patterns at scale </li>\n <li>dbt — hands-on experience with data modeling and layered transformation patterns in a production environment</li>\n <li>Cloud-native orchestration & automation — experience with containerized or serverless services for pipeline scheduling and workflow automation</li>\n <li>Python & SQL — expert proficiency in both, with an emphasis on clean, maintainable, production-ready code</li>\n <li>Software engineering fundamentals — CI/CD, version control (Git), RESTful APIs, and a disciplined approach to testing and deployment</li>\n <li>Technical leadership — proven ability to mentor engineers, define technical standards, and translate ambiguous business requirements into well-scoped engineering solutions</li>\n <li>Cross-functional collaboration — experience working across business, architecture, and platform teams to deliver data solutions that drive real decisions</li>\n</ul>\n<p><strong>Nice-to-Have</strong></p>\n<ul>\n <li>Exposure to BI tooling such as Looker or Power BI, with an understanding of how end consumersinteract with the data layer</li>\n <li>Certifications such as dbt Analytics Engineer, Google Cloud Professional Data Engineer, or Looker Certified Developer</li>\n <li>Experience with infrastructure-as-code tooling (Terraform, Ansible)</li>\n <li>FinOps awareness and a track record of implementing cloud cost optimizations</li>\n <li>Background in a SaaS environment</li>\n</ul>\n<h2></h2>\n<p><strong>Work With Impact:</strong> Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day, when we see store shelves stocked, when medications are available for our loved ones, and so much more.</p>\n<p><strong>Work with Fortune 500 Brands:</strong> Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Unilever, P&G, ExxonMobil, Cisco and more.</p>\n<p><strong>Social Responsibility at Kinaxis:</strong> Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.</p>\n<p><em>People matter</em> at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:</p>\n<ul>\n <li>Flexible vacation and Kinaxis Days (company-wide days off)</li>\n <li>Flexible work options</li>\n <li>Physical and mental well-being programs</li>\n <li>Regularly scheduled virtual fitness classes</li>\n <li>Mentorship programs, training, and career development</li>\n <li>Recognition programs and referral rewards</li>\n <li>Hackathons</li>\n</ul>\n<p>For more information, visit the Kinaxis website at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com.</p>\n<p>Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at [email protected]. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.</p>\n<p><em>Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education, experience, and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.</em></p>\n<p>     </p>",
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