Kynite
11 - 50 employees
🤖 Artificial Intelligence
🏢 Enterprise
Artificial Intelligence • Enterprise • Cloud Services
Kynite is an American technology company based in Dallas/Fort Worth, Texas, specializing in advanced technological solutions, including Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, and Enterprise services. With over fifty years of combined experience, Kynite provides a range of services such as Enterprise Architecture, Identity & Access Management, and Managed Services. The company also offers staff augmentation services and is dedicated to leveraging cutting-edge technologies to optimize business processes for its clients.
Enterprise Data Architect
Job not on LinkedIn
🕒 April 1
Where this job comes from
Posted on Kynite's careers page, not through a job board
First seen by Remote Rocketship April 1
Still open on Kynite's site. Checked Yesterday.
Kynite
11 - 50 employees
🤖 Artificial Intelligence
🏢 Enterprise
Artificial Intelligence • Enterprise • Cloud Services
Kynite is an American technology company based in Dallas/Fort Worth, Texas, specializing in advanced technological solutions, including Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, and Enterprise services. With over fifty years of combined experience, Kynite provides a range of services such as Enterprise Architecture, Identity & Access Management, and Managed Services. The company also offers staff augmentation services and is dedicated to leveraging cutting-edge technologies to optimize business processes for its clients.
📋 Description
• Develop database solutions to store and retrieve company information • Install and configure information systems to ensure functionality • Analyze structural requirements for new software and applications • Migrate data from legacy systems to new solutions • Design conceptual and logical data models and flowcharts • Improve system performance by conducting tests, troubleshooting and integrating new elements • Optimize new and current database systems • Define security and backup procedures • Coordinate with the Data Science department to identify future needs and requirements • Provide operational support for Management Information Systems (MIS)
🎯 Requirements
• 10+ years of Data Platform and Data Application hands-on experience
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