M-Pesa Africa: Senior Data Architect

We are Africa’s largest fintech providing financial services to more than 60 million customers and 5 million businesses, with transactions of over $1.2 billion a day across 8 countries. Driven by a strong passion in innovation, we provide Africa’s leading super app, the M-PESA Super App, pioneering a digital financial ecosystem that empowers customers and businesses to send and receive money and payments across the world, enables them with access to affordable credit and savings propositions, and provides them with best-in-class solutions to easily grow their wealth and businesses. United in our purpose to Transform Lives, we are determined and energetic in exploring and delivering solutions that consistently address our customers’ needs as we believe that we can only succeed if our customers and the community around us are succeeding.

M-PESA Africa is looking for a Senior Data Architect to design, govern, and evolve our enterprise data landscape across our markets. Operating at the intersection of mobile money, payments infrastructure, AI, and analytics, you will set the architectural standards and strategic direction for how data flows, is governed, and generates value across M-PESA's platforms.

This is a senior individual contributor role with broad influence across engineering, product, compliance, and group-level stakeholders. You will be expected to lead with vision, mentor others, and translate complex data challenges into scalable architectural solutions.

- Education: Bachelor's degree in Computer Science, Information Systems, Electrical/Computer Engineering, or a related field.

- Experience: Experience in data architecture, data engineering, or closely related technical 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 (conceptual, logical, physical) for both OLTP and OLAP systems.
- Hands-on experience with cloud data platforms (AWS, GCP, or Azure) and big data technologies (Spark, Databricks, BigQuery, Redshift, etc.).
- Proficiency in data integration patterns: ETL/ELT, Change Data Capture (CDC), event streaming, and API-driven data exchange.
- Strong understanding of data governance frameworks and tools (DAMA-DMBOK, Apache Atlas, Collibra, or equivalent).
- Experience with streaming platforms such as Apache Kafka in high-throughput transactional environments.