No more applications are being accepted for this job
- Tune Databricks for performance and utilization optimization.
- Provide infrastructure guidance of Databricks capabilities to accommodate business/technical use cases
- Automate and manage provisioning needs, such as Databricks Cluster Policies, Unity Catalog, Secrets Management, Role Based Access Control model and permissions
- Monitor and manage data and processes to control cost and optimize compute spend
- Configure and manage monitoring/alerting around latency performance on the Databricks platform including Delta Live Tables and Databricks Workflows
- Coordinate and collaborate with dependent infrastructure and AWS services to implement Databricks integration with services, such as S3, IAM, SSO
- Provide technical expertise and troubleshooting as well as support for change management, governance. compliance, internal audits and remediations
- Bachelor's Degree
- 3+ years of relevant experience on Databricks
- Paid Time Off
Platform Engineer - Toronto, Canada - Guidepoint
Description
:Guidepoint's Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services.
What You'll Do:
What You Have:
What We Offer: