Data Architect

4 weeks ago

Centurion, South Africa Momentum Corporate Full time

**Introduction**

**Role Purpose**

To design, implement, and maintain the data architecture within Momentum Corporate by collaborating with cross-functional teams to ensure effective data management, integration, and accessibility. Drive data-driven decision-making and support the organization's strategic goals.

**Requirements**:

- Diploma or Bachelor's degree in Computer Science, Information Technology, or a related field. Advanced degrees or relevant certifications are a plus.
- Proven experience as a Data Architect or similar role, with a track record of successful data architecture design and implementation.
- Strong expertise in data modeling, database design, and data integration techniques.
- Proficiency in data management tools, such as relational databases, NoSQL databases, data warehouses, ETL tools, etc.
- 2-3 years’ experience with data governance, data security, and compliance requirements.
- Proficiency in programming languages commonly used in data processing (e.g., SQL, Python, Java).
- Familiarity with cloud-based data platforms and related services on AWS
- 3-4 years’ experience in designing and implementing big data and analytics platforms like Hadoop and Apache Spark

**Duties & Responsibilities**

Data Architecture Design:

- Develop and maintain the overall data architecture strategy and vision.
- Design data models, databases, data warehouses, and data lakes to support various business needs.
- Define and implement data integration, transformation, and migration strategies.

Data Governance and Management:

- Establish data governance policies, standards, and best practices.
- Ensure data quality, accuracy, consistency, and security across the organization.
- Define and enforce data access controls and permissions.

Data Integration and ETL:

- Design and implement efficient ETL (Extract, Transform, Load) processes to integrate data from various sources into the data ecosystem.
- Identify opportunities for automating and optimizing data integration workflows.

Data Analysis and Reporting:

- Collaborate with data analysts and business intelligence teams to design and optimize data structures for reporting and analysis purposes.
- Assist in creating and maintaining data visualizations, dashboards, and reports.

Technology Evaluation and Selection:

- Stay updated on emerging data technologies and trends, and evaluate their relevance to the organization.
- Recommend and select appropriate tools, platforms, and frameworks for data management, storage, and processing.

Collaboration and Communication:

- Work closely with cross-functional teams, including data scientists, software engineers, analysts, and business stakeholders, to understand their data requirements and provide technical guidance.
- Communicate complex technical concepts to non-technical stakeholders effectively.

Performance Optimization:

- Monitor and optimize data architecture performance, identifying bottlenecks and areas for improvement.
- Implement strategies to enhance data processing speed, scalability, and efficiency.

**Competencies**
- Analytical skills
- Teamwork
- Time management skills
- Attention to detail
- Planning skills

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