Design Azure cloud-native data platforms using Databricks and PySpark for end-to-end ingestion, processing, warehousing, analytics, and consumption needs.This architect develops up-to-date data solutions supporting data warehouses, BI, insights, and analytics. The work spans Azure, Databricks, PySpark, data governance, and cloud-native architecture. You will address modernization, scalability, performance, flexibility, and cost-effectiveness across complex data environments.Key Responsibilities:




Develop modern cloud-native data solutions and architecturesBuild cost-effective Databricks infrastructure and orchestrate Azure workflowsLead data strategy sessions on scalability and performanceCreate Databricks CI/CD pipelines using Azure DevOpsImplement customer data modernization solutionsRequirements:
15+ years of experience, including four years implementing cloud-native data solutionsExperience with Azure, Databricks, PySpark, and up-to-date data platformsProficiency in cloud-native architecture and data governanceExperience migrating Spark and Hadoop environments to DatabricksUnderstanding of data warehouses, cloud databases, and columnar architecturesApply Azure architecture, Databricks engineering, and governance expertise to deliver scalable up-to-date data platforms and analytics solutions.
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📌 Azure Cloud Data Architect Winnipeg (Canada)
🏢 Envision Technology Solutions
📍 Canada