Elevate your career as an Azure Databricks Architect, leading design and implementation of advanced data solutions. Shape governance standards with Databricks Unity Catalog and optimize performance in an enterprise setting.

In this key role, you will engineer Lakehouse architectures with Azure Databricks and Delta Lake, ensuring secure and scalable data pipelines. Collaboration with data engineering teams and business stakeholders will be crucial in delivering a robust data ecosystem that meets performance objectives and budget constraints.

Key Responsibilities:
• Design enterprise-grade Lakehouse architectures using Azure Databricks
• Architect scalable cloud data pipelines for batch and streaming workloads
• Manage Databricks Unity Catalog for metadata and lineage tracking




• Implement RBAC/ABAC and row-level security for sensitive data
• Drive performance optimization strategies for Databricks and Spark

Requirements:
• Proven experience in Azure Databricks architecture and implementation
• Strong knowledge of Lakehouse models and data governance
• Expertise in Spark optimization and cost management techniques
• Familiarity with Azure Data Lake and Azure Monitor
• Ability to collaborate across diverse teams

Lead the transformation of data architecture with cutting-edge solutions that drive efficiency and security in the enterprise.
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📌 Azure Databricks Architect Lead (Saskatchewan)
🏢 Bilinguallink
📍 Saskatchewan