Architect, Data Fabric & SaaS Platform

Location CA-Remote
ID 2026-34295
Category
Engineering
Position Type
Full-Time
Remote
Yes

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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 at Kinaxis.  

 

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, 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

Kinaxis Maestro manages and predicts what is needed to effectively balance supply and demand for some of the world’s most complex supply chains. 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. We are preparing for the next phase of our evolution; this role is central to our technical future. We value our people, and work to give them meaningful work and opportunities to have a real impact while equipping them with the right tools like AI-enabled development.

About the role

We are currently building a next-generation Data Fabric—a multi-tenant, high-performance platform built on Databricks that will serve as the substrate for all Kinaxis applications. We aren’t looking for an integrator to build pipelines; we need a Systems Architect to build the engine.

 

Why This Role is Different: Most "Data Architect" roles focus on 1st-party consumers (internal analytics and dashboards). This role is about platform engineering. You will solve low-level architectural challenges that most data engineers never encounter:

  • True Multi-Tenancy: Designing resource isolation, security boundaries, and noisy-neighbor protections at the infrastructure level.
  • Platform-as-a-Product: Building the developer frameworks and APIs that allow other teams to build atop our Data Fabric.
  • High-Scale Systems Engineering: Navigating the complexities of distributed compute and memory management. You understand how to optimize for data locality, shuffle performance, and high-throughput I/O to ensure our customers’ largest datasets move with zero friction across a global footprint

Vacancy Status 

This is an existing job vacancy 

What you will do

  • Architect the Fabric: Lead the technical vision for a Databricks-centric platform, focusing on Delta Sharing, Unity Catalog, and custom data orchestration.

  • Solve for "The Platform": Move beyond simple ingestion. You will design the "low-level" primitives—identity, compute quotas, and automated RBAC—that make the platform scalable for thousands of external users.

  • Bridge the Gap: Translate complex infrastructure constraints (Kubernetes, Azure/GCP, Databricks) into a seamless developer experience for our internal and external application teams.

  • Direct Impact: Your contributions will have direct impact on the Kinaxis platform.

What we are looking for

  • Systems Thinker: You have 10+ years of experience, but you don't just "use" tools; you understand how they work under the hood. You know the difference between a solution and a scalable platform.

  • Databricks Power User: You have deep hands-on experience with technology like Spark and Delta Lake, but you view them as components of a larger distributed system.

  • Cloud Native: You are fluent in Kubernetes, containerization, and the networking/security layers of Azure or GCP.

  • Strategic & Tactical: You can debate long-term architectural strategy in the morning and dive into a complex debugging session with a Senior Engineer in the afternoon.

  • AI Experience: You find opportunities to accelerate the SDLC through innovative applications of AI or other tooling, while upholding architecture consistency, secure design, and code-quality standards. You can review AI-generated code rigorously for correctness, architectural fit, integration risk, and edge case support with a growth mindset and bias for experimentation.

#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, Yamaha, P&G, Honda, 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 net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and these are some of the perks and benefits we created for our team:

 

  • Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month)
  • Flexible work options
  • Physical and mental well-being programs
  • Regularly scheduled virtual fitness classes
  • Mentorship programs and training and career development
  • Recognition programs and referral rewards
  • Hackathons

 

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 recruitmentprograms@kinaxis.com. Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses.

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.

 

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