Databricks Platform Engineer

2 weeks ago

Toronto, Canada Stone Search, LLC Full time

Databricks Platform Engineer

Location: Toronto, Canada

Salary $180-200K CAD


Overview:

Our client is seeking an experienced Databricks Platform Engineer to join their Data/AI team. This team will be dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. Get in on the ground floor of the strategic investment this client is making to develop cutting-edge Generative AI and analytical capabilities that will be the basis for their next generation research enablement platform and data products.


Responsibilities:

  • Design and implement cloud solutions, build machine learning operations (MLOps) on cloud (Azure and Databricks)
  • Build CI/CD pipelines orchestration using tools such as Azure DevOps
  • Use MLFlow and handle model serving and monitoring on Databricks
  • Test, validate, and automate tests for ML models
  • Tune Databricks for spark cluster performance and utilization optimization
  • Provide guidance on Databricks capabilities to accommodate business/technical use cases
  • Automate and manage provisioning needs, including Databricks Cluster Policies, Unity Catalog, Secrets Management, Role-Based Access Control model, and permissions
  • Monitor and manage data and processes to control costs and optimize compute spend
  • Configure and manage monitoring/alerting around latency performance on the Databricks platform, including Delta Live Tables and Databricks Workflows and machine learning model performance
  • Coordinate and collaborate with dependent infrastructure teams and Azure services to integrate Databricks securely.
  • Provide technical expertise and troubleshooting as well as support for change management, governance, compliance, internal audits, and remediations
  • Communicate with a team of data scientists, ML engineers, data engineers, and architects, and document the processes


Requirements:

  • Bachelor’s Degree
  • 2+ years of relevant experience on Databricks, including performance tuning, infrastructure guidance, workflow automation and cost optimization strategies
  • Experience in cloud solutions, preferably on Azure
  • Skills in MLFlow, containerization, and deployment practices (Preferred)
  • Excellent communication and documentation skills to collaborate effectively with cross-functional teams

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