M-Pesa Africa: Senior Data Architect

Tasks

• Architect data integration patterns between core systems and analytics AI layers
• Define data modeling standards and data flow patterns
• Define feature store and production ML workflow infrastructure
• Design data platforms for payment analytics and fraud AML detection
• Design model serving infrastructure patterns
• Design streaming and CDC pipelines
• Establish enterprise data governance frameworks and data quality standards
• Implement data classification lineage and catalog standards
• Lead vendor evaluations for data platform and governance tools
• Mentor data engineers and architects across markets
• Own enterprise data architecture across markets
• Produce executive architecture artifacts and data strategy presentations
• Serve as architecture voice in review boards and governance forums

Perks/Benefits

• N/A

Skills/Tech-stack

API first | AWS | Amazon Redshift | Apache Atlas | Apache Kafka | Azure | Batch Processing | BigQuery | CDC Pipelines | Change Data Capture | Collibra | DAMA-DMBOK | Data Architecture | Data Capture | Data Catalog | Data Classification | Data Governance | Data Lakehouse | Data Lineage | Data Management | Data Modeling | Data Quality | Data mesh | Databricks | ELT | ETL | Embedding pipelines | Event Driven | Event-driven architecture | Feature Store | GCP | Integration Architecture | LLM infrastructure | Machine Learning | Master Data | Master Data Management | Oracle GoldenGate | Real Time | Real-time Processing | Spark | Streaming Pipelines | Time processing | Vector Databases