Design Azure cloud-native data platforms using Databricks and PySpark for end-to-end ingestion, processing, warehousing, analytics, and consumption needs. This architect develops modern 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 architectures Build cost-effective Databricks infrastructure and orchestrate Azure workflows Lead data strategy sessions on scalability and performance Create Databricks CI/CD pipelines using Azure DevOps Implement customer data modernization solutions Requirements:
15+ years of experience, including four years implementing cloud-native data solutions Experience with Azure, Databricks, PySpark, and modern data platforms Proficiency in cloud-native architecture and data governance Experience migrating Spark and Hadoop environments to Databricks Understanding of data warehouses, cloud databases, and columnar architectures Apply Azure architecture, Databricks engineering, and governance expertise to deliver scalable modern data platforms and analytics solutions.
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Azure Cloud Data Architect in Winnipeg employer: Envision Technology Solutions
As a Salesforce FSC Tech Lead, you will thrive in a dynamic work environment that prioritizes innovation and collaboration. Our company offers competitive benefits, a supportive culture that fosters professional growth, and opportunities to lead impactful projects in the financial services sector. Located in a vibrant area, we provide unique advantages such as access to industry events and a network of like-minded professionals, making it an excellent place for meaningful and rewarding employment.
Contact Details:
Envision Technology Solutions Recruitment Team
