Data Architect at Capitec Bank

Company: Capitec Bank

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Capitec Bank

Industry: Banking / Financial Services

Posted: Sep 8, 2025

Deadline: Not specified

Job Type: Full Time

Qualification: Bachelors

Experience: 5 years

Location: Western Cape

City: Stellenbosch

Field: Data, Business Analysis and AI , ICT / Computer

About the role

  • Are you a data visionary who thrives on turning complexity into clarity? At Capitec Bank, we’re building the bank of the future — reimagining how we harness data at scale to drive smarter decisions, AI innovation, and exceptional client experiences within our sales channels, the heartbeat of our retail business.As a Data Architect within our Channels Data and Analytics team, you will play a key role in designing and shaping the data infrastructure that empowers our sales channels to self-serve and move faster — all while ensuring solutions remain lean, scalable, and trusted.We’re looking for someone with a strong background in data warehousing and a solid understanding of domain-driven design principles, capable of architecting robust, future-proof data ecosystems that align with both immediate business priorities and long-term strategic growth.If you’re passionate about cutting through complexity to build elegant, scalable data architectures that fuel data-driven innovation in our most vital retail channels, this is your opportunity to make a meaningful impact and help simplify banking for millions.

Education (Minimum)

  • Bachelor’s Degree in Information Technology – Computer Science

Education (Ideal or Preferred)

  • Bachelor’s Degree in AWS Architecture

Minimum Requirements

  • A bachelor’s in computer science, Engineering, Information Systems, Mathematics, Physics, or a related field. 
  • A minimum of 5 years’ proven experience in data analysis, data modeling, data engineering, and data management. 
  • At least 2 years of hands-on experience with AWS Cloud services 
  • Databases: Redshift, Aurora, SQL Server, DynamoDB 
  • Exposure to or experience in front-end engineering. 
  • Exposure to or experience in Artificial Intelligence (AI), Machine Learning (ML), Data Engineering, or Business Intelligence (BI). 

Knowledge: 

  • Data Management and Data Modelling Platforms (Collibra and ERStudio or equivalent).

Ideal: 

  • Banking Knowledge, (business environment, products and services and regulatory landscape) 
  • TOGAF 
  • Agile Methodology 

Ideal Skills 

  • Analytical Skills 
  • Attention to Detail 
  • Communications Skills 
  • Decision making skills 
  • Planning, organising and coordination skills 
  • Problem solving skills 

Skills

  • Analytical Skills
  • Attention to Detail
  • Communications Skills
  • Decision making skills
  • Planning, organising and coordination skills
  • Problem solving skills

Click here to apply

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