Application Architect-Microsoft Analytics & Cloud

Job description

**Your Role and Responsibilities:** As an Application Architect specializing in Microsoft Analytics & Cloud, you will design, implement, and support complex Data & AI architectures, leveraging your deep understanding of complex data platforms. You will utilize your expertise in creating and maintaining data pipelines, data storage solutions, and data integration using various Azure services. **Your primary responsibilities will include:** Design Complex Architectures: Design and implement complex Data & AI architectures, connecting data sources, data visualization, structured and unstructured data, and advanced analytics using AI/ML. Develop Data Pipelines: Create and maintain data pipelines, data storage solutions, and data integration using Azure Data Lake Storage Gen2, Azure Datafactory, Azure Databricks, and other Azure services. Implement Data Governance: Implement data governance using Azure Purview, ensuring data quality, security, and compliance. Optimize Power BI Dashboards: Optimize Microsoft Power BI dashboards for usability, performance, flexibility, testability, and standardization. Deliver Predictive Analytics: Use Azure Machine Learning cloud-based predictive analytics services to deliver insights and recommendations to stakeholders. **Required Education:** Bachelor's Degree **Preferred education** Master's Degree **Required Technical and Professional Expertise:** Designing Complex Data Architectures: Experience with designing and implementing complex Data & AI architectures, connecting data sources, data visualization, structured and unstructured data, and advanced analytics using AI/ML. Data Pipeline Development: Experience in creating and maintaining data pipelines, data storage solutions, and data integration using Azure Data Lake Storage Gen2, Azure Datafactory, Azure Databricks, and other Azure services. Data Governance Implementation: Experience with implementing data governance using Azure Purview, ensuring data quality, security, and compliance. Advanced Analytics Expertise: Deep technical experience in one or more areas, including database architecture, big data, business intelligence, data governance, No-SQL databases, advanced analytics, data mining, and ETL. Predictive Analytics Delivery: Experience using Azure Machine Learning cloud-based predictive analytics services to deliver insights and recommendations to stakeholders. **Preferred Technical and Professional Experience:** Microsoft Azure Logic Apps: Experience with Microsoft Azure Logic Apps, Azure Functions, Azure Service Bus, Azure IoT, and Azure App Fabric is beneficial for this role. Azure Database Knowledge: Knowledge of Azure Database and BI Semantic Model is advantageous for designing and implementing complex Data & AI architectures. Agile Fundamentals: Familiarity with Agile fundamentals and methodology is preferred, as well as proficiency in Business Analysis and Business Knowledge. ****Years of Experience:**** 8 - 10