Job Description

Position: Data Architect
Listing Reference: woolw_001259
Location: Western Cape, South Africa
Contract Type: Permanent
Industry: FMCG, Retail, Wholesale, and Supply Chain
Application Deadline: 3 July 2025
Remuneration: Market-Related

We’re looking for an experienced Data Architect to design, build, and manage scalable and secure data architecture across both cloud and on-premise environments. This role is key to supporting advanced analytics, AI/ML initiatives, and business intelligence across the organisation.

You’ll work closely with engineering, governance, analytics, and business teams to ensure that data models, pipelines, and integration strategies meet business goals and regulatory requirements.

The Role

As a Data Architect, you will:

Data Architecture & Modeling

• Design and implement enterprise-wide data architecture

• Build and maintain conceptual, logical, and physical data models

• Define data standards, metadata practices, and data lineage

Integration & Storage

• Lead data integration using ETL/ELT processes and APIs

• Design real-time data pipelines using tools like Kafka or Kinesis

• Optimise structured and unstructured data storage on both cloud (AWS, Azure) and on-premise systems

Governance & Compliance

• Ensure alignment with data governance frameworks (e.g., DAMA-DMBOK)

• Enforce data privacy, security, and compliance (GDPR, POPIA)

• Support access control, encryption, and role-based permissions (IAM)

Performance & Innovation

• Monitor data quality and performance

• Recommend new data technologies to improve scalability and efficiency

• Collaborate with business and IT teams to enable data-driven decision-making

Requirements

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field

• 5+ years in data architecture, data modeling, or data engineering

Technical Skills

• Strong experience in:

  • On-premise systems (Oracle DWH, OLAP)

  • Cloud platforms (AWS, Azure, GCP)

• Proficiency with:

  • RDBMS (Oracle, SQL Server, PostgreSQL)

  • Cloud-native data solutions (Redshift, Snowflake, BigQuery, DynamoDB)

  • ETL/ELT pipelines, APIs, event-driven architectures (Kafka, Kinesis, Pub/Sub)

  • AWS tools – S3, Glue, Redshift, Athena

• Knowledge of:

  • Data cataloguing, metadata management, lineage tracking

  • Data security, IAM, encryption, and compliance standards