Job Description

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:

• Bachelorxe2x80x99s degree in computer science, Information Systems, or a related field

• Industry certification such as:
• DAMA
• AWS/AZURE
• Snowflake or DMBOK2 (advantage)

Experience:

• Minimum 7 yearsxe2x80x99 experience in data architecture
• Financial Services industry experience in data architecture (Life Insurance industry experience will be an advantage)

Assupol