Senior Data Architect

Recruiter:

Stafflink Recruitment Solutions

Job Ref:

STL 1700

Date posted:

Thursday, July 31, 2025

Location:

Pretoria, South Africa

Salary:

R1. 27m-R1.53 depending on Qual.and Exp.

SUMMARY:
Pretoria

POSITION INFO:

CORE PURPOSE OF THE POSITION

The Senior Data Architect is responsible for designing, implementing, and managing data and AI architecture solutions that support the organisation''''s strategic objectives. The role will be

responsible for the KPI’s including but not limited to- system uptime, data quality, compliance rate, delivery timelines, stakeholder satisfaction. Enabling AI/ML capabilities through scalable data

platforms, ensuring readiness of data for AI use cases, and guiding the implementation of AI solutions across the enterprise will also be required.

Qualification:

BSc Computer Science or equivalent degree

At least 10 years IT experience of which 8 years must be in data

architect or data engineering role.

Proven experience in designing and implementing AI/ML

solutions in enterprise environments. Exposure to MLOps and

AI model operationalization in either of the following platforms

(e.g. Azure, AWS, or Google)

KNOWLEDGE:

Healthcare experience
Database management system software, especially Microsoft SQL Server
Databases such as ADABAS, NoSQL, and cloud computing
Data mining and modelling tools, especially ERWin,Enterprise Architect, and Visio
Programming languages, e.g. Natural (SAG), Python, and Java, as well as C/C++ and Perl
Operating systems- Lists UNIX, Linux, Solaris, Windows, ZOS
AI and machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn) Knowledge of AI solution design and architecture (including NLP, computer vision, recommendation systems)

Skills:

Applied math and statistics
Data visualization and data migration
Machine learning
Attention to detailTechnical and Professional Skills
Excellent problem-solving and analytical skills
Strong communication and interpersonal skills
AI model development and deployment (supervised,unsupervised, reinforcement learning)
Experience integrating AI models into business applications and workflows.

Other requirements:

Leadership qualities
Ability to operate as part of a team to achieve a common goal
Positive attitude with focus on achieving success
Take responsibility and accountability for assignments
Open to and support of new ideas

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