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

Kinaxis is a global leader in modern supply chain orchestration, providing innovative solutions to manage complex supply chains. The Senior Databricks Platform Engineer will be responsible for engineering the Databricks platform and evolving data governance while collaborating closely with machine learning teams.

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