Elevate your career as an Azure Databricks Architect, focusing on scalable architectures and robust data governance. This hands-on role demands expert building and oversight of data pipelines.

You will be responsible for designing secure and productive Databricks Lakehouse solutions while leading migrations from legacy ETL systems. Your efforts will ensure compliance with data governance and quality standards as you collaborate with cross-functional teams to meet stakeholder expectations.

Key Responsibilities:
• Lead architecture of Databricks Lakehouse on Azure platforms
• Construct and review PySpark and Spark SQL data pipelines
• Manage legacy workload conversions to Databricks format




• Optimize performance and implement cost-control strategies
• Embed data governance using Unity Catalog and Purview

Requirements:
• 12+ years in data engineering and architecture
• Proven 4+ years in hands-on Databricks implementation
• Knowledge of CI/CD best practices via Azure DevOps
• Understanding of security compliance and data integrity
• Experience with BI tools and machine learning frameworks

Shape the future of data management with your expertise in Azure Databricks and governance practices.
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📌 Azure Databricks Architect & Data Governance Lead (Ontario)
🏢 HCLTech
📍 Ontario