Data Architect

September 12, 2024

Menlyn Park

FULL TIME

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.

Formal Education:

Experience:

Minimum 7 years’ experience in data architecture
Financial Services industry experience in data architecture (Life Insurance industry experience will be an advantage)