M-Pesa Africa: Senior Data Architect

Tasks

• Architect data integration between core systems and analytics AI layers
• Define data classification lineage and catalog standards
• Define data modeling and integration standards
• Define model serving infrastructure patterns
• Design AI ML ready data architectures and feature store standards
• Design real time and batch data flow patterns
• Design streaming and CDC pipelines
• Drive transition to data mesh data lakehouse and event driven patterns
• Establish data governance data quality and MDM policies
• Lead architecture for data platforms for payments analytics and fraud AML
• Lead architecture reviews and governance forums
• Lead vendor evaluations for data and governance tools
• Mentor data engineers and architects
• Own enterprise data architecture across markets
• Produce executive ready architecture artifacts

Perks/Benefits

• N/A

Skills/Tech-stack

AWS | Amazon Redshift | Apache Atlas | Apache Kafka | Apache Spark | Azure | BigQuery | Change Data Capture | Cloud Data | Cloud Data Platforms | Collibra | DAMA-DMBOK | Data Architecture | Data Capture | Data Catalog | Data Classification | Data Governance | Data Lakehouse | Data Lineage | Data Management | Data Modeling | Data Processing | Data Quality | Data mesh | Data platforms | Databricks | ELT | ETL | Event Driven | Event-driven architecture | GCP | Master Data | Master Data Management | Oracle GoldenGate | Real Time | Real-time Data | Real-time Data Processing | Streaming Analytics