About the Role

Kinaxis is seeking a Senior Databricks Platform Engineer to join their Data Fabric team, building a modern supply chain data and AI foundation on Databricks across Azure and GCP. This 18-month full-time role involves engineering the Databricks platform, evolving data and AI governance, and collaborating with ML R&D teams. The position is hybrid in Ottawa/Toronto or remote across Canada.

Responsibilities

Engineer the Databricks platform across Azure and GCP, including Unity Catalog, Delta Sharing, workspace lifecycle, Terraform, CI/CD, and an AI-augmented SDLC. Evolve data and AI governance in Unity Catalog covering structure, tagging, lineage, RBAC, and PII. Work closely with ML R&D teams on data, feedback loops, and AI-driven data products.

Requirements

Databricks production experience with Unity Catalog, Delta, Spark/SQL tuning, and streaming. 5+ years building production systems. Strong Python and SQL. Comfortable with IaC, CI/CD, and ambiguity. Open to working with AI agents and reviewing AI-generated code.

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.

Tech Stack

Python

Jobflarely

West Hollywood · US · 100+ employees

Jobflarely (or JobFlare) is an online job board platform designed to connect job seekers with employers through skill-based matching and recruitment management tools. It offers services to help recruiters shortlist candidates and manage the hiring process.

Staff+ Software Engineer, Inference Runtime

Anthropic

REMOTE · SAN FRANCISCO · USREMOTE (US)

$405K–$485K

REMOTE · SAN FRANCISCO · USREMOTE (US)

$405K–$485K

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

About the Role

Responsibilities

Requirements

Nice to Have

Tech Stack

Jobflarely

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