We’re Hiring: Databricks Architect
Location:
Toronto, Canada (Remote) We are looking for an experienced Databricks Architect to design, implement, and govern enterprise-scale data platforms on Azure Databricks. The ideal candidate will have strong expertise in Lakehouse architecture, cloud security, data governance, platform automation, and enterprise data integration.
Key Responsibilities
• Design Databricks workspace, compute, networking, and private-access architecture.
• Define enterprise data lake architecture, including Bronze, checkpoint, archive, and quarantine zones.
• Establish data orchestration patterns, catalog structures, and platform standards.
• Develop High-Level Designs (HLDs) and Low-Level Designs (LLDs).
• Lead Databricks setting deployment and configuration using automation frameworks.
• Implement security and governance using Unity Catalog and Azure Key Vault.
• Configure and secure ADLS Gen2 storage, Private Endpoints, retention policies, and access controls.
• Design source system connectivity, authentication, and data ingestion frameworks.
• Define cluster, runtime, operational, and security standards.
• Support testing,
troubleshooting, validation, and production readiness. Required Skills &
Experience:
• Strong experience in Azure Databricks architecture and administration.
• Expertise in ADLS Gen2, Unity Catalog, Azure Key Vault, Private Link, and Azure networking.
• Experience designing enterprise-scale Data Lakehouse solutions.
• Strong knowledge of data governance, IAM, security, secrets management, and compliance.
• Experience with CI/CD, Infrastructure as Code (Terraform preferred), and platform automation.
• Solid understanding of data integration, ingestion patterns, and enterprise source connectivity. ? Interested candidates: Please share your updated resume via DM or email. If this opportunity matches your expertise, we’d love to hear from you
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📌 Databricks Architect (Canada)
🏢 Aptino
📍 Canada