Shape the Databricks Lakehouse framework on Azure as a Lead Data Engineer. This position requires hands-on experience in building scalable data solutions and governing best practices.In this role, you will design and ensure the integrity of a secure Databricks architecture that meets enterprise standards. You will lead the migration from legacy ETL processes while focusing on optimizing job performance and configurations. Collaboration with key stakeholders is essential to bridge requirements and effective delivery.Key Responsibilities:Design and own secure Databricks architectures aligned with standardsDevelop and review PySpark/Spark SQL data workflowsOversee the migration of legacy ETL workloads to DatabricksEnhance performance and implement right-sizing across clustersSpearhead data governance initiatives using Unity CatalogRequirements:Minimum 12 years in data platforms or engineering roles4+ years delivering solutions using DatabricksExpertise in CI/CD tools and practicesSolid background in data governance and lineage techniquesFamiliarity with analytics tools like Power BI and Azure MLDrive innovation and efficiency in data frameworks with your leadership in Databricks.

📌 Lead Data Engineer For Databricks Solutions (Toronto)
🏢 HCLTech
📍 Toronto