Manager, Data Engineering - CAN

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!

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.

• Ottawa and Toronto, Canada
  - Hybrid (Preferred)
• Other Canadian locations
  - Remote

The Data & Analytics organization drives Kinaxis’ transformation into a data-driven organization by building trusted, scalable, and modern data capabilities that power analytics, AI enablement, customer-facing data products, cloud intelligence, and operational decision-making.

The Data & Observability Platform team is responsible for the shared technical foundations that enable the broader Data & Analytics organization to deliver quickly and reliably. This includes ingestion frameworks, Databricks and dbt platform enablement, CI/CD and deployment patterns, data and cloud observability, modernization of legacy platforms, and reusable standards that allow teams to safely build and operate data solutions at scale.

This team partners closely with Data Architecture, Analytics & AI Enablement, Data Products & Integrations, Fin Ops, SRE, Cloud Platform Engineering, and business stakeholders across Kinaxis.

This is an existing job vacancy

We are seeking an experienced and hands‑on engineering manager to lead the Data & Observability Platform team. This role will be responsible for building and operating the shared platform capabilities, frameworks, and observability foundations that support Kinaxis’ modern data ecosystem.

You will lead a team focused on improving engineering velocity, reducing delivery friction, enabling consistent platform patterns, and modernizing legacy data technologies. Your team will provide the foundation that allows other Data & Analytics teams to ingest, transform, monitor, and operate data products and analytics solutions reliably.

Success in this role will require strong technical leadership, operational discipline, stakeholder partnership, and the ability to balance platform maturity with pragmatic delivery. You will help the organization move faster by creating reusable frameworks, clear standards, and reliable platform capabilities.

• Lead, mentor, and manage a team of data platform engineers, and observability engineers.
• Build a high‑performing engineering culture focused on reliability, delivery speed, automation, and continuous improvement.
• Define team objectives, delivery priorities, and measurable outcomes aligned with Data & Analytics and Cloud Services goals.
• Coach team…