Overview
Job Role : Senior Data Architect
Location : Western Cape, South Africa
Job Type : Permanent
- Positions Available : 1
- Salary : Market Related
Department : Data Intelligence
Industry : DataJob Description
You will design and govern a secure, scalable, and integrated data architecture that unifies complex transactional systems, enabling accurate, compliant, and analytics-ready data to support strategic decision-making in a fintech environment. This role is both strategic—influencing data roadmap and technology choices—and hands-on, involving close collaboration with technical teams and business stakeholders.
Company & Culture
A well-established brand with a global strategy that prides itself on making people’s lives easier through frontier technology that creates enabling opportunities.
We are all inWe have each other’s backsWe are braveThese values help us create a culture where people can engage in meaningful work in a supportive environment and achieve the remarkable.
Responsibilities
Lead the redesign of our enterprise-wide data architecture, simplifying legacy systems and eliminating data silos and duplication.Design and maintain robust conceptual, logical, and physical data models for analytical and operational needs.Establish and enforce data architecture standards to ensure scalability, performance, and business alignment.Guide the integration of multiple transactional systems to create unified, high-quality datasets for reporting and analytics.Define and champion data governance practices, including data quality controls, data lineage, metadata management, and stewardship frameworks.Implement data security and privacy measures aligned with financial services regulations.Partner with cross-functional teams to turn business requirements into data solutions from prototypes to production.Mentor data engineers and analysts and provide architectural oversight across data initiatives.Evaluate and recommend modern data platforms, tools, and technologies to future-proof the ecosystem.Optimize performance and reliability of data pipelines, storage, and reporting infrastructure.Design scalable strategies for data lifecycle management, including retention, archival, and purging.Drive automation and reusability in data processes for faster, more consistent data delivery.Qualifications
Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field.Minimum 10 years of experience in data architecture or related data management roles.Proven experience designing and implementing enterprise-scale data solutions.Strong background in data modelling (conceptual, logical, physical).Experience with data integration, ETL / ELT pipelines, and data warehousing.Experience with big data technologies and migration strategies from legacy to new platforms.Knowledge of data governance, data quality frameworks, and regulatory compliance.Proficiency in SQL, database design and management.Experience with BI / reporting tools.Competencies / Attributes
Analytical ThinkingProblem SolvingCollaborationTechnical ExpertiseAttention to DetailEffective CommunicationStrategic ThinkingAdaptability#J-18808-Ljbffr