Verified Job
IT / Software / Data Analyst
Application Architect-Microsoft Analytics & Cloud
IT / Software / Data Analyst
#5973
Remote / WFH
IBM
Job Description
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, possessing a deep understanding of complex data platforms. You will leverage your expertise to create and maintain data pipelines, data storage solutions, and data integration using various Azure services. Your primary responsibilities will include:
• Design and Implement Data Architectures: Design and implement complex data architectures, connecting data sources, data visualization, structured and unstructured data, and advanced analytics using AI/ML.
• Develop and Maintain 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.
• Implement Data Governance: Implement data governance using Azure Purview, ensuring data quality, security, and compliance.
• Deliver Solution Deployments: Deliver automated deployments using Azure DevOps, ensuring efficient and reliable solution delivery.
Required Technical And Professional Expertise
• Data Platform Expertise: 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.
• Azure Services Experience: Exposure to 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.
• Business Intelligence Proficiency: In-depth experience with Power BI and Microsoft Business Intelligence Suite (Microsoft SSAS, SSIS, SSRS), including design, architecture, and development roles.
• Data Governance Knowledge: Experience with implementing data governance using Azure Purview, ensuring data quality, security, and compliance.
• Software Engineering Fundamentals: Exposure to software engineering techniques, software engineering architecture, software engineering life cycle, and data management, with experience in Agile fundamentals and methodology.
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 Machine Learning: Knowledge and experience in using Azure Machine Learning cloud-based predictive analytics services is advantageous.
• No-SQL Database Expertise: Deep technical experience in No-SQL databases, specifically Cosmos DB, is desirable.
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, possessing a deep understanding of complex data platforms. You will leverage your expertise to create and maintain data pipelines, data storage solutions, and data integration using various Azure services. Your primary responsibilities will include:
• Design and Implement Data Architectures: Design and implement complex data architectures, connecting data sources, data visualization, structured and unstructured data, and advanced analytics using AI/ML.
• Develop and Maintain 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.
• Implement Data Governance: Implement data governance using Azure Purview, ensuring data quality, security, and compliance.
• Deliver Solution Deployments: Deliver automated deployments using Azure DevOps, ensuring efficient and reliable solution delivery.
Required Technical And Professional Expertise
• Data Platform Expertise: 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.
• Azure Services Experience: Exposure to 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.
• Business Intelligence Proficiency: In-depth experience with Power BI and Microsoft Business Intelligence Suite (Microsoft SSAS, SSIS, SSRS), including design, architecture, and development roles.
• Data Governance Knowledge: Experience with implementing data governance using Azure Purview, ensuring data quality, security, and compliance.
• Software Engineering Fundamentals: Exposure to software engineering techniques, software engineering architecture, software engineering life cycle, and data management, with experience in Agile fundamentals and methodology.
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 Machine Learning: Knowledge and experience in using Azure Machine Learning cloud-based predictive analytics services is advantageous.
• No-SQL Database Expertise: Deep technical experience in No-SQL databases, specifically Cosmos DB, is desirable.
