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Senior Data Architect
M-PESA Africa
Posted 3 months agoNairobi, Kenya
Location
Nairobi, Kenya
Job Type
Full-time
Experience
Senior
Deadline
April 7, 2026
Category
Technology & IT
Job Description
M-PESA Africa is Africa's largest fintech, providing financial services to over 60 million customers and 5 million businesses with transactions exceeding $1.2 billion per day across 8 countries. M-PESA Africa operates the M-PESA Super App and pioneers digital financial ecosystems that empower customers to send money, access credit, save, and grow their businesses. This hybrid Senior Data Architect role shapes the enterprise data strategy across all M-PESA markets.
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Requirements
- Bachelor's degree in Computer Science, Information Systems, Electrical/Computer Engineering, or a related field
- Experience in data architecture, data engineering, or closely related disciplines with at least 3 years in a senior or lead capacity
- Proven track record designing enterprise-scale data platforms in financial services, fintech, or telecommunications
- Deep expertise in data modelling for both OLTP and OLAP systems
- Hands-on experience with cloud data platforms such as AWS, GCP, or Azure and big data technologies including Spark, Databricks, BigQuery, or Redshift
- Proficiency in data integration patterns including ETL/ELT, CDC, event streaming, and API-driven data exchange
- Strong understanding of data governance frameworks and tools such as DAMA-DMBOK, Apache Atlas, or Collibra
- Experience with Apache Kafka in high-throughput transactional environments
Responsibilities
- Own the enterprise data architecture across M-PESA Africa's multi-market environment spanning transactional, operational, analytical, and AI/ML data domains
- Define and enforce data modelling standards, data flow patterns, and integration architecture for real-time and batch processing pipelines
- Lead architecture design for data platforms supporting payment rails, API analytics, fraud and AML detection, and regulatory reporting
- Drive the transition to modern data architectures including data mesh, data lakehouse, and event-driven patterns
- Establish enterprise-wide data governance frameworks, data quality standards, and master data management policies across all six markets
- Define data classification, lineage, and cataloguing standards ensuring traceability from source systems through to consumption layers
- Architect data integration patterns between M-PESA core systems, third-party platforms, and analytics/AI layers
- Design and govern streaming and CDC pipelines using Apache Kafka and Oracle GoldenGate
- Design data architectures that underpin AI/ML use cases including transaction monitoring, watchlist screening, and customer intelligence
- Mentor and coach mid-level data engineers and architects across markets
- Serve as the senior data architecture voice in Architecture Review Boards and design forums
- Lead vendor evaluations for data platform tools, cloud data services, and governance technologies
