Azure Data Solutions Architect Responsibilities: Design and architect data solutions on the Azure platform, utilizing Azure Data Factory and Databricks to orchestrate, transform, and analyze large volumes of data. Collaborate with stakeholders to gather requirements, define data architecture standards, and develop scalable data pipelines and workflows. Implement best practices for data ingestion, storage, processing, and consumption to ensure high performance, reliability, and security. Lead the design and implementation of data integration, data warehousing, and advanced analytics solutions using Azure services. Provide technical guidance and mentorship to cross-functional teams, including developers, data engineers, and data scientists, on Azure best practices and methodologies. Drive innovation and continuous improvement in data architecture and engineering practices, staying abreast of the latest Azure technologies and industry trends. Collaborate with infrastructure teams to optimize Azure resources, manage costs, and ensure compliance with security and governance standards. Qualifications: Experience with Azure Data Factory and Databricks. Strong understanding of data architecture principles and best practices. Proficiency in designing and implementing data integration, data warehousing, and advanced analytics solutions on Azure. Excellent communication and collaboration skills, with the ability to work effectively with stakeholders at all levels. Experience with JDE (JD Edwards) knowledge is a plus.