About the position
Design and implement effective database solutions and models to store and retrieve company data.
Develop database architecture, data pipelines, and ETL processes.
Define data governance policies and ensure data quality and security.
Collaborate with IT teams and business units to understand data requirements.
Optimize new and existing database systems for performance and scalability.
Evaluate and recommend new data technologies and tools.
Maintain documentation of data architecture and data flows.
Ensure compliance with data protection regulations (e.g., GDPR, HIPAA).
Designs and implements AI solutions and models using Enterprise Architecture principles.
Analytical and Decision-Making:
Considers the art of the possible, compares various architectural options based on feasibility and impact, and proposes actionable plans.
Assesses and manage multiple technical challenges simultaneously. Ensures architectural deliverables meet schedules and estimates.
Anticipates project issues and risks before they occur, and work with teammates to identify and implement solutions or mitigations with relevant stakeholders.
Should possess good product instinct and excellent project management skills to push projects over the finish line with sound planning and persistent execution.
Demonstrates strong analytical and technical problem-solving skills. Has the ability to analyse and operate at various levels of abstraction.
Can balance what is strategically right with what is practically realistic by balancing the risk to the project, product, or to the firm.
Owning your space:
Can lead a diverse group of project stakeholders and members towards the successful outcome.
Provides formal and informal coaching on the job to grow team members to their full potential.
Mentors’ junior members of the team and reviews their work acting as a best practice/quality resource.
Able to delegate when appropriate but leads by example when required.
Drive the direction of data architecture for the organisation and influences and develops strategy in collaboration with Enterprise Architecture Principles and that informs Information Management.
Defines roadmaps.
Drive innovation.
Develop Data Architecture CoE.
Maintains the data architecture which includes integration.
Minimum Requirements:
Qualifications:
Bachelors Degree (3 years) - Information Technology or related field Essential!
National Senior Certificate - Matric / Grade 12 Essential!
Post Graduate Studies - Information Technology or related fields Advantage
Certification – TOGAF *Essential!
Experience Required:
Minimum of 10+ years overall IT industry experience.
Minimum of 5+ years in a data architect role using service and hosting solutions such as private/public cloud IaaS, PaaS, and SaaS platforms.
Strong knowledge of database systems (SQL, NoSQL), data modeling, and data warehousing and virtualization.
Proficiency in data integration tools and ETL frameworks.
Familiarity with big data technologies (e.g., Denodo, Hadoop, Spark).
Managed the end-to-end lifecycles of a project in a solution architect capacity.
Experience with mission-critical technology components with DR capabilities.
Experience with multi-geography, multi-tier service design, and management.
Extensive experience in financial management, solution plan development, and product cost estimation.
Solid business acumen, management, and communication skills.
Significant experience in presenting ideas, products, concept papers to varied audiences.
Experience coaching and mentoring others.
Leadership capability and proven ability to manage difficult stakeholders.
Experience supporting peer teams and their responsibilities such as infrastructure, operations, engineering, info-security.
Desired Skills:
- IaaS
- PaaS
- and SaaS
- SQL
- NoSQL
