Senior Databricks Platform Engineer, Data + AI (18-month Term)
About Kinaxis 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! 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. 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. Location Ottawa or Toronto, Canada - Hybrid All other Canadian locations - Remote About the team This role sits within the Data Fabric team—a cross-functional group of standout cloud, data, and AI engineers and architects building a modern supply chain data and AI foundation on top of Databricks across Azure and GCP. Our mission is accelerating: we're hardening the platform and augmenting both our processes and products with data and AI. You'll be plugged into this exciting work. This is a full-time, 18-month position. Vacancy Status This is an existing job vacancy What you will do Engineer the Databricks platform across Azure and GCP. Unity Catalog, Delta Sharing, workspace lifecycle, Terraform, CI/CD, and an AI-augmented SDLC. Evolve data and AI governance in Unity Catalog. Structure, tagging, lineage, RBAC, and PII. Work closely with ML R&D teams. Partner on data, feedback loops, and AI-driven data products. What we are looking for Databricks experience. Production experience with Unity Catalog, Delta, Spark/SQL tuning, and streaming. You know what breaks. Engineering fundamentals. 5+ years building production systems. Strong Python and SQL. Comfortable with IaC, CI/CD, and ambiguity. You write clearly. Initiative with outcomes. You find hard problems and finish them. Show your work; side projects and OSS count. Open to working—and building—with agents. Agents augment our development process and our product. Prior experience isn't required; willingness to learn and adopt is. Bonus if you're already there. Ability to find opportunities to accelerate the SDLC through innovative application of AI or other tooling while upholding architecture consistency, secure design, and code-quality standards. Ability to review AI-generated code rigorously for correctness, architectural fit, integration risk, and edge case support with a growth mindset and bias for experimentation.
Nice to Have
Experience with feedback loops or human-in-the-loop ML systems. Multi-tenant SaaS data platform experience. Supply chain or demand-planning domain. #Senior;#LI-EM1 Work With Impact: 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. Work with Fortune 500 Brands: 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. Social Responsibility at Kinaxis: 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. People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee: Flexible vacation and Kinaxis Days (company-wide days off) Flexible work options Physical and mental well-being programs Regularly scheduled virtual fitness classes Mentorship programs, training, and career development Recognition programs and referral rewards Hackathons For more information, visit the Kinaxis website at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com. 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. 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. Apply To This Job