Kforce - Miramar, FL
posted about 2 months ago
Kforce has a client seeking a Remote Data Architect who will play a pivotal role in shaping the data architecture of the organization. This position requires close collaboration with system and application architects to define the logical and data architecture of system features. The Data Architect will be responsible for designing secure, scalable, and robust data structures that ensure data integrity and compliance with FDA and HIPAA regulations. A key aspect of this role involves leading data migration strategies for customer onboarding, ensuring that data transfer is both secure and efficient. In addition to technical responsibilities, the Data Architect will work with regulatory affairs to understand and ensure adherence to relevant regulations. Implementing data governance frameworks that maintain data integrity and security across all aspects of the data lifecycle is crucial. The role also involves facilitating iterative and incremental development of the data architecture, encouraging collaboration and knowledge sharing within and across teams to enhance project outcomes and drive data-driven innovations. The Data Architect will guide and mentor team members in best practices for data management, promoting a culture where failure leads to learning and improvement. Continuous professional development is encouraged through workshops, seminars, and courses relevant to modern data architectures and technologies. The architect will share knowledge and insights on the latest data architecture trends and tools to maintain a cutting-edge approach within the team. Ensuring that all data architecture designs meet the stringent requirements for security and compliance set forth by regulatory bodies is essential. The Data Architect will constantly evaluate data strategies to improve scalability, efficiency, and customer integration processes. As a technical expert in data architecture, the individual will provide guidance and make strategic decisions that enhance data management and usage, driving the adoption of new technologies and methodologies that improve the functionality and performance of the data architecture.