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

Kinaxis is a global leader in modern supply chain orchestration, seeking to innovate and revolutionize supply chain management through their powerful AI-infused platform. The Senior Databricks Platform Engineer will engineer the Databricks platform across Azure and GCP, evolve data and AI governance, and work closely with ML R&D teams to enhance data products.

Responsibilities:

• 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

Requirements:

• 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
• Experience with feedback loops or human-in-the-loop ML systems
• Multi-tenant SaaS data platform experience
• Supply chain or demand-planning domain