Architect, Data Fabric, Developer Framework

Overview  About Kinaxis. Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re serious about your career growth and professional development, because People matter  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, with a brand-new HQ based in Kanata North in Ottawa. As one of Canada’s Top Employers, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today. At Kinaxis, we power the world’s supply chains to help preserve the planet’s resources and enrich the human experience.

As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries, 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, Canada - Hybrid
Toronto, Canada - Hybrid
Other Canadian locations - Remote
About The Team  Our customers have the largest supply chains imaginable. The scale, complexity, and volume of data driving those supply chains continues to grow. We build tools that make bringing that data into our platform, and managing it, possible. We’re continuously improving to keep pace with an ever-evolving modern data landscape.
About

The Role  We’re looking for an accomplished software developer and architect with deep expertise in building data management and system‑integration tools, particularly leveraging the Databricks ecosystem. You have a strong understanding of the full data domain from single‑event processing to the batch workloads that power AI/ML solutions, and their supporting technologies. You’re well‑versed in data quality, governance, and API lifecycle management, and you bring the technical leadership needed to guide diverse projects in a collaborative, fast‑moving environment.
Vacancy Status
This is an existing job vacancy
What you will do   Lead the evolution of our Data Fabric.
Tackle complex and ambiguous technical challenges, rapidly learning and driving solutions.
Research and prototype exciting new platform API and data management capabilities
Act as a steward of the codebase, promoting best practices for quality, security, performance, and maintainability.
Collaborate across teams to solve cross‑component integration challenges and advance shared platform capabilities.
Stay current on emerging technologies, and ways of working, assess opportunities to increase velocity, and champion adoption.
Proactively mentor and support others while maintaining professionalism and approachability.
Actively contribute to planning, estimation, and team ceremonies.
Communicate technical concepts to diverse audiences, and be a presenter at demos, knowledge transfers, executive reviews, and more.
Participate in customer meetings to understand needs and represent engineering.
Help shape long‑term technical strategy and guide the roadmap toward it.
What we are looking for   Required
Post-secondary degree in Computer Science, Engineering, or equivalent related discipline.
10+ years designing and delivering complex platform and data platform systems at enterprise scale.
Demonstrated architectural leadership across both application and data platforms.
Exceptional communicator capable of explaining technical decisions to engineers, PMs, executives, and cross‑functional stakeholders.
Proven ability to design scalable, secure, and maintainable distributed architectures, balancing tradeoffs across performance, reliability, cost, and developer experience.
Strong platform engineering background:
Kubernetes, containerization, infrastructure automation, service design, API standards, and platform reliability practices.
Hands‑on experience with CI/CD, testing strategies, release automation, and platform‑level observability (logging, metrics, tracing) for both application and data workloads.
Proficiency with Databricks (Spark, Delta Lake, Unity Catalog) accompanied by the ability to align…