Duties & Responsibilities:
Develop and create Data Architecture Blueprints and Models
- Develop and maintain the data architecture blueprint: Define the standards, guidelines, and models for data architecture that ensure alignment with business goals and technical standards.
- Create and maintain data models: Design conceptual, logical, and physical data models, ensuring the database structures support business requirements.
Design data integrated solutions and alignment of data strategies
- Design and manage data integration solutions: Develop strategies for data integration across different systems and platforms, including on-premises and cloud environments.
- Data strategy alignment: Align data architecture with enterprise strategy, supporting governance, security, and compliance needs.
Implementation of data governance frameworks
- Ensure data governance standards: Establish and enforce standards for data management, security, and privacy to maintain data integrity.
- Implement data quality processes: Develop policies and tools to monitor and improve data quality, reducing risks associated with poor data management.
Evaluation of new technologies
- Evaluate new technologies: Assess emerging data technologies and tools, recommending the best fit for the organization's architecture.
- Oversee data platform implementation: Supervise the deployment and optimization of data platforms, ensuring they are scalable, secure, and efficient.
Lead data projects
- Lead data-related projects, ensuring they are delivered on time, within scope, and on budget.
- Lead data migration projects, ensuring smooth transitions between legacy systems and new data platforms.
Optimization of critical business systems performance
- Optimize data systems for performance: Ensure that databases, data warehouses, and other data storage solutions are performing optimally.
- Troubleshoot performance issues: Diagnose and resolve any issues that impact the performance or efficiency of data systems
Selection of technologies
- Technology Selection: Identify and recommend the appropriate tools, technologies, and platforms for data management and analytics.
