Brief description of the position: 

Responsible for designing, implementing, and governing the organization's data architecture to ensure it supports business objectives and enterprise architecture goals. Involves defining data standards, creating data models, and ensuring the integrity, security, and availability of data across the organization. Collaborates with all stakeholders to enable data-driven decision making and innovation

Key Tasks:

1.Data Architecture Design - Develop and maintain the organization's data architecture blueprint, including data models, data flows, and data integration patterns. 

2. Data Strategy Alignment - Collaborate with business leaders to understand data needs and translate them into architectural requirements. 

3. Data Governance and Quality - Establish and enforce data governance frameworks to ensure data quality, consistency, and compliance with regulatory requirements. 

4. Technology Evaluation and Selection - Research and evaluate data management technologies, including databases, data lakehouses, and analytical platform. 

5. Security and Compliance - Ensure data architecture complies with security policies, privacy regulations, and industry standards. 

6. Stakeholder Collaboration - Work closely with business units, IT teams, and other stakeholders to ensure data solutions meet their needs.

7. Documentation and Communication - Maintain and communicate comprehensive data architecture documentation, including data dictionaries, metadata repositories, and architecture diagrams. 

Qualification and skills required for the position: 

- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

- Experience as a Data Architect, Data Engineer, or similar role in a large-scale enterprise environment.

- Proficiency in data modeling techniques and tools.

- Expertise in database technologies and data platforms.

- Familiarity with cloud data solutions.

- Knowledge of data security, privacy, and compliance frameworks.

- Excellent analytical and problem-solving skills.

- Strong communication and interpersonal skills, with the ability to explain complex data concepts to non-technical stakeholders.

- Leadership and mentoring capabilities.

- Strategic thinking and the ability to balance short-term needs with long-term goals.