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.
Optimize Power BI Dashboards: Optimize Microsoft Power BI dashboards with a focus on usability, performance, flexibility, testability, and standardization, utilizing your experience in Power BI design, architecture, and development.
Implement Data Governance: Implement data governance using Azure Purview, ensuring data management and compliance.
Deliver Predictive Analytics: Deliver cloud-based predictive analytics services using Azure Machine Learning, leveraging your knowledge and experience in advanced analytics and data mining.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

Deep Technical Expertise in Data Platforms: Possess a deep understanding of complex data platforms, including architectural sense for connecting data sources, data visualization, structured and unstructured data, and advanced analytics using AI/ML.
Expertise in Azure Services: Have experience with creating and maintaining data pipelines, data storage solutions, and data integration using Azure Data Lake Storage Gen2, Azure Datafactory, Azure Databricks, Azure SQL Server, Synapse, Microsoft Fabric, Purview, and Cosmos DB.
Proficiency in Business Intelligence: Possess in-depth experience with Power BI and Microsoft Business Intelligence Suite (Microsoft SSAS, SSIS, SSRS), including design, architecture, and development.
Experience in Data Governance: Have knowledge and experience in implementing data governance using Azure Purview, ensuring data management and compliance.
Advanced Analytics Expertise: Possess deep technical experience in one or more areas, including database architecture, big data, business intelligence, data governance, No-SQL databases (Cosmos DB), advanced analytics, data mining, and ETL.

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, enabling the design and implementation of comprehensive data and AI architectures.
Azure Database Knowledge: Familiarity with Azure Database and BI Semantic Model is advantageous, allowing for effective data management and business intelligence solutions.
Agile Fundamentals: Knowledge of Agile fundamentals and methodology is desirable, facilitating collaboration and iterative development in a fast-paced environment.

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