Architect, Solutions
Architect, Solutions
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
To develop design and maintain the solution architectures for specific business functional/technical areas. To participate in the definition of the higher-level functional and non-functional requirements analyse technical trade-offs determine the major components and subsystems and define the interfaces and collaborations between them safeguarding the strategic alignment of technology architecture with the agreed business outcomes.
1. Solution Design & Architecture
- Design scalable secure and high-performance data solutions aligned with business requirements.
- Define data architecture standards patterns and best practices.
- Lead the selection of appropriate technologies platforms and tools for data solutions.
2. Enterprise Data Strategy
- Contribute to the development and execution of enterprise data strategies.
- Align data architecture with business goals digital transformation initiatives and regulatory requirements.
- Promote data as a strategic asset across the organization.
3. Data Modeling & Integration
- Develop conceptual logical and physical data models.
- Architect data integration solutions across on-premises and cloud environments.
- Ensure data consistency quality and lineage across systems.
4. Cloud & Platform Architecture
- Design and implement cloud-native data solutions (e.g. Azure AWS GCP).
- Evaluate and integrate data platforms such as data lakes data warehouses and lakehouses.
- Optimize data storage compute and processing architectures.
5. Governance Security & Compliance
- Embed data governance principles into solution design.
- Ensure compliance with data privacy regulations (e.g. POPIA GDPR).
- Implement data security controls access management and encryption strategies.
6. Collaboration & Stakeholder Engagement
- Work closely with business units data engineers analysts and IT teams.
- Translate business needs into technical requirements and data solutions.
- Present architectural decisions and roadmaps to senior leadership.
7. Innovation & Continuous Improvement
- Stay abreast of emerging technologies and trends in data architecture.
- Drive innovation in data engineering analytics and AI/ML enablement.
- Continuously improve architecture for performance cost-efficiency and agility.
8. Mentorship & Leadership
- Provide technical leadership and mentorship to data engineering and analytics teams.
- Establish architectural review processes and promote knowledge sharing.
- Contribute to talent development and capability building in data disciplines.
Qualifications :
Type of Qualification: First Degree
Field of Study: Information Studies
Other Minimum Qualifications certifications or professional memberships
- Relevant Architecture Certification;
- AWS Certification advantageous
- TOGAF Frameworks
Experience Required
Information Lifecycle Management
Data & Analytics
5-7 years
Knowledge and experience working with and implementing internationally recognised frameworks; such as TOGAF Zachman etc. Proven track record of comprehensive analysis and architectural skills to drive delivery of architectural constructs and artefacts in line with business strategy
5-7 years
Proven track record of comprehensive analysis and architectural skills to drive delivery of architectural constructs and artefacts in line with business strategy
Additional Information :
Behavioural Competencies:
- Adopting Practical Approaches
- Articulating Information
- Challenging Ideas
- Checking Things
- Examining Information
- Exploring Possibilities
- Interacting with People
- Meeting Timescales
- Producing Output
- Providing Insights
- Taking Action
- Team Working
Technical Competencies:
- Data Integrity
- IT Applications
- Knowledge Classification
- Knowledge Management Systems
- Systems Design
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
