Job Description

Closing Date 2025/07/25
Reference Number AEC250711-5
Pillar Head Office
Job Title Data Integration & AI Architect
Job Type Classification Permanent
Job Grade DU
Number of Positions 1
Location - Town / Site Woodmead
Location - Province Gauteng
Location - Country South Africa

The Data Integration & AI Architect plays a crucial role in designing and managing data ecosystems (platforms) that support AI-driven decision-making.
Key Performance Areas:

• Data Flow Optimization - Ensuring seamless data movement across platforms to enhance accessibility.
• Reducing Data Silos - Integrating disparate data sources to create a unified and consistent data environment.
• AI Infrastructure Design - Building scalable architectures that support AI models and machine learning applications.
• Data Governance & Security - Implementing policies to ensure data integrity, compliance, and protection.
• Decision-Making Enhancement - Leveraging integrated data insights to improve business intelligence and strategic planning

Key Performance Indicators:

• Measuring the speed and reliability of data extraction, transformation, and loading
• Ensuring high availability of integrated data platforms.
• Evaluating the effectiveness of AI predictions
• Assessing improvements in automation and workflow optimization
• Tracking the accuracy of AI-driven forecasts.

Qualifications & Experience

• Bachelor's Degree - A degree in Computer Science, Data Science, Information Technology, or Software Engineering

Advantageous:
AI & Machine Learning Certifications:

• AWS Certified Machine Learning - Specialty - Focuses on AI and ML solutions in AWS.
• Microsoft Certified: Azure AI Engineer Associate - Covers AI solutions in Azure.
• Google Professional Machine Learning Engineer - Specializes in AI and ML on Google Cloud.

Data Integration & Cloud Certifications:

• Certified Data Management Professional (CDMP) - Covers data governance and integration.
• Google Cloud Certified - Professional Data Engineer - Focuses on data processing and integration.

IBM Certified Data Architect - Big Data - Specializes in big data architecture
A Data Integration & AI Architect requires minimum 10 years' experience in data management, cloud computing, and AI-driven solutions
A: Technical Skills:

• Data Integration - Expertise in ETL processes, APIs, and data pipelines.
• AI & Machine Learning - Strong understanding of deep learning, NLP, and predictive analytics.

• Cloud Platforms - Experience with AWS, Azure, or Google Cloud.
• Big Data Technologies - Proficiency in Hadoop, Spark, NoSQL databases, and data lakes.
• Security & Compliance - Knowledge of data protection, encryption, and regulatory standards.

B: Knowledge (professional experience)

• Solution Architecture - Designing scalable AI and data integration solutions.
• Stakeholder Collaboration - Working with business leaders to align AI strategies with company goals.

• Data Governance - Implementing policies for data integrity, compliance, and security.
• Performance Optimization - Enhancing AI models and data pipelines for efficiency

C: Behaviours (Attributes)

• Problem-Solving - Ability to troubleshoot complex data and AI challenges.
• Communication - Clear articulation of technical solutions to stakeholders.

• Leadership - Guiding teams in AI adoption and data integration strategies.

Strategic Thinking - Aligning AI and data solutions with business objectives.