Data Architecture Manager

ATS Client; Midrand; On-site; ZAR 900,000 - 1,500,000; Full time

Job summary

ATS Client is seeking a Data Architect to design data requirements, models and structures to optimize application performance and enable seamless data integration.

You will act as a SME in Data & AI, influencing decisions and providing cross‑team solutions. The role requires strategic thinking, technical expertise, and strong stakeholder engagement in mining or related industries.

Qualifications

• Experience designing data models and governance frameworks.
• Ability to work with enterprise architecture principles across teams.
• Strong stakeholder engagement with senior leadership.

Responsibilities

• Develop and implement data strategies to enhance application performance.
• Design data models, structures, and storage aligned with enterprise architecture.
• Collaborate with cross-functional teams to ensure data integrity and governance.
• Establish and enforce data governance policies and procedures.
• Identify and resolve data-related challenges across projects.
• Stay updated on data architecture advancements and trends.

Skills

Data modeling

Data governance

Enterprise architecture

Data access

Data taxonomy

Data & AI

Stakeholder engagement

Education

TOGAF certification

DAMA certification

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, 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.
• Master proficiency in Data & AI.
• 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.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.