Application Architect-Microsoft Analytics & Cloud

Introduction A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

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.

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.