
eCommerce • SaaS • Artificial Intelligence
Workiy Inc. is a global digital solutions company specializing in comprehensive services for web and mobile application development, digital marketing, and cloud transformation. With a focus on tailored technology solutions, Workiy aims to empower businesses by enhancing their digital presence through innovative strategies including custom software development, UX/UI design, and enterprise application management. The company operates with a client-centric approach, showcasing extensive expertise in various technologies such as Drupal, Shopify, and Salesforce, promoting efficient business operations and enhanced user experiences.
April 12

eCommerce • SaaS • Artificial Intelligence
Workiy Inc. is a global digital solutions company specializing in comprehensive services for web and mobile application development, digital marketing, and cloud transformation. With a focus on tailored technology solutions, Workiy aims to empower businesses by enhancing their digital presence through innovative strategies including custom software development, UX/UI design, and enterprise application management. The company operates with a client-centric approach, showcasing extensive expertise in various technologies such as Drupal, Shopify, and Salesforce, promoting efficient business operations and enhanced user experiences.
• Develop and manage roadmaps for data architecture transformation • Evaluate existing data architectures and provide improvement recommendations • Define architecture standards and reference architectures for the proper use of information and data • Drive adoption of modern data technologies and practices, including: Data modelling, Data integration, Data warehousing • Recommend new technologies to improve data management effectiveness • Work closely with data management and IT teams to ensure delivery of requirements • Gather and document data requirements • Assess the current state of data architecture • Develop a target state for data architecture • Perform gap analysis and create a data roadmap to resolve gaps • Identify, evaluate, and leverage emerging data technologies • Define and document architecture and technology standards, reference and solution architectures, constraints, and guidelines
• Bachelor’s degree in Computer Science, Engineering, or a related field • Minimum 5 years of experience in data architecture with a proven track record of designing and implementing enterprise data platforms • Must hold at least one of the following certifications: Microsoft Certified: Azure Data Fundamentals , OR TOGAF 9 (The Open Group Architecture Framework) certification • Experience with Azure data services, including: Azure SQL Database, Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse Analytics • Familiarity with healthcare regulatory and compliance requirements • Experience with Big Data technologies in a healthcare context • Understanding of advanced analytics and machine learning and their applications
• Flexible work arrangements • Professional development
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