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Data Architect
Midrand
Job No. r00249628
Full-time - Hybrid
Job Description
Role Overview:
As a Data Architect, you will design and define data requirements, models, and structures to optimize application performance and ensure seamless data integration. You will act as a Subject Matter Expert (SME) in Data & AI Strategy, influencing decisions and providing solutions that apply across teams. This role requires strategic thinking, technical expertise, and strong stakeholder engagement skills, particularly in mining or related industries.
Key Responsibilities:
- Develop and implement innovative data strategies to enhance application performance.
- Design data models, structures, and storage solutions aligned with enterprise architecture principles.
- Collaborate with cross-functional teams to ensure data integrity, consistency, and governance.
- Establish and enforce data governance policies and procedures.
- Identify and resolve data-related challenges across projects.
- Stay abreast of advancements in data architecture and emerging trends.
Competencies:
- Strong problem-solving abilities and decision-making influence across teams.
- Ability to lead and define the data scope within an enterprise architecture framework.
- Excellent communication and collaboration skills with senior stakeholders.
Qualifications
Qualifications & Skills:
- Master proficiency in Data & AI Strategy.
- Strong expertise in Data Access, Data Architecture Principles, Data Taxonomy, and AI processes.
- Proven experience in data modeling, defining data requirements, and implementing governance frameworks.
- Preferred certifications: TOGAF and relevant data certifications (e.g., DAMA or equivalent).
- Exceptional stakeholder engagement and advisory skills.
- Experience in the mining industry or large-scale enterprise projects is highly advantageous.
