Senior Databricks Platform Engineer, Data + AI; Term

Position: Senior Databricks Platform Engineer, Data + AI (18-month Term)

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. Employment Type

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. Benefits • 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

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 re 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. #J-18808-Ljbffr