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M-Pesa Africa: Senior Data Architect at Safaricom Kenya
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Nairobi 🇰🇪 Kenya
Posted 1 day ago (5 Oct 2026) Deadline: 12 Oct 2026 Updated about 3 hours ago
Job Description
The Senior Data Architect leads the design and implementation of enterprise‑wide data solutions for M‑Pesa across multiple African markets. Responsibilities include defining data modeling standards, establishing governance frameworks, and guiding the transition to modern architectures such as data mesh and lakehouse. The role collaborates with compliance, legal and product teams to ensure data solutions meet regulatory and business requirements. Leadership and technical expertise in both real‑time and batch processing are essential.
Qualifications & Requirements
- • Bachelor’s degree in Computer Science, Information Systems or a related field
- • At least 3 years of senior‑level experience designing and governing enterprise data architectures
- • Proven expertise in data modeling, data mesh, lakehouse concepts and cloud/hybrid infrastructure
- • Experience with real‑time and batch data processing pipelines and related technologies
- • Strong understanding of financial services regulatory requirements and data privacy standards
- • Demonstrated ability to lead technical teams and influence cross‑functional stakeholders
Required Skills
Responsibilities
- • Own the enterprise data architecture across M‑Pesa’s multi‑market environment, covering transactional, operational, analytical and AI/ML domains
- • Define and enforce data modeling standards, data flow patterns, and integration architecture for real‑time and batch pipelines
- • Lead the design of data platforms that support payment rails, analytics, fraud detection, AML monitoring and regulatory reporting
- • Drive the adoption of modern data paradigms such as data mesh, lakehouse and event‑driven architectures aligned with cloud and hybrid strategies
- • Establish enterprise‑wide data governance, quality standards and master data management policies across all markets
- • Define data classification, lineage and cataloguing standards to ensure traceability from source systems to consumption layers
- • Partner with compliance, legal and market teams to align data architectures with regulatory obligations and data sovereignty requirements
- • Architect data integration patterns that enable seamless data movement between systems