Data Integration

7 days ago

Woodmead, South Africa AECI Full time

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.
- **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.

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