Architect, Data Fabric, Developer Framework
Kinaxis
Architect, Data Fabric, Developer Framework
- Category
- Engineering
- Position Type
- Full-Time
- Remote
- Yes
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
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 Databricks patterns with broader platform architectural decisions.
- Experience with Azure and GCP cloud services, including storage (ADLS, GCS), compute (AKS, GKE), and messaging/streaming (Event Hub, Pub/Sub).
- Demonstrated history of mentorship, architectural leadership, and raising engineering maturity across multiple teams.
- A strong ability to rapidly learn and leverage modern technologies, AI included, to solve complex software problems and improve productivity.
- Finds opportunities to accelerate the SDLC through innovative application of AI or other tooling, while upholding architecture consistency, secure design, and code-quality standards.
- Reviews 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:
- Familiarity with distributed datastores and storage engines where performance or I/O characteristics strongly shape architectural decisions.
- Knowledge of API management patterns (Azure API Management, Apigee), and designing robust data and platform APIs.
- Experience with data orchestration / transformation tools such as Airflow, dbt, Apache Hop, or Pentaho.
- Architectural contributions to enterprise‑scale data governance, access control frameworks, lineage systems, and compliance‑driven data design.
- Domain experience with supply chain data or similarly complex operational datasets.
#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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