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Première détection par notre source: à l’instant

Azure Databricks Platform engineer

@ BULL-IT SOLUTIONS LTD

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Toronto, Ontario

Temps plein
Postuler
SIGNAUX

Résumé des exigences :

  • • Implement and administer Unity Catalog, including catalogs, schemas, permissions, storage credentials, and external locations.
  • • Infrastructure-as-code and scripting are also highlighted in the related internal Databricks requirement.
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
Non fourni
Première détection par notre source
2026-11-14
Mise à jour du dossier source
2026-11-14

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Postuler

BULL-IT SOLUTIONS LTD

Toutes ses offres
ChampValeur
Offres sur Jobsy6
Description

• We are looking for an experienced Azure Databricks Platform Engineer to design, implement, administer, automate, and support enterprise-scale Azure Databricks environments.

• The engineer will work closely with data engineering, cloud infrastructure, security, networking, DevOps, and application teams to provide a secure, scalable, governed, reliable, and cost-efficient Databricks platform.

• Design, configure, administer, and support Azure Databricks workspaces across development, testing/UAT, and production environments.

• Manage Databricks compute, cluster policies, jobs, workflows, user access, monitoring, and cost controls.

• Implement and administer Unity Catalog, including catalogs, schemas, permissions, storage credentials, and external locations.

• Integrate Azure Databricks with ADLS Gen2, Azure Data Factory, Azure SQL, Azure Key Vault, and managed identities. Implement secure authentication and authorization using Microsoft Entra ID, Azure RBAC, managed identities, and Key Vault.

• Work with Azure networking concepts including VNets, NSGs, private endpoints, DNS, routing, VPN/ExpressRoute, and hub-and-spoke connectivity.

• Build automation using Python, PowerShell, Bash, Terraform/Bicep and CI/CD tooling to reduce manual platform activities.

• Infrastructure-as-code and scripting are also highlighted in the related internal Databricks requirement.

• Support CI/CD and release management using Azure DevOps, GitHub Actions, or equivalent tooling.

• Establish platform monitoring and observability using Azure Monitor, Log Analytics, Application Insights, Grafana, Prometheus, Datadog, Dynatrace, or New Relic as applicable.

• Monitor platform availability, performance, capacity, and operational health.

• Troubleshoot complex Databricks, Azure infrastructure, storage, identity, networking, and connectivity issues. Implement platform-level security, governance, access controls, and operational standards.

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