You will define the architectural foundation that powers the AI Center's ability to serve telecom and fintech use cases at scale designing for millions of daily events, strict regulatory requirements, and fast-moving business needs.
ROLE MISSION
Define and govern data architecture patterns supporting AI, BI, and automation delivery.
Key Responsibilities
- Define lakehouse and warehouse architecture patterns to support telecom analytics (network performance, subscriber management) and fintech reporting (revenue, fraud, credit portfolios)
- Guide data engineers on design decisions, platform standards, and best practices
- Align architecture with governance and security requirements for sensitive customer, network, and financial data
- Design scalable data models for Customer 360, network analytics, fraud detection, and financial regulatory reporting
- Evaluate and recommend data technologies aligned with the Azure and Microsoft Fabric ecosystem
Must-have Skills
- Azure data architecture (Synapse, Data Factory, Databricks, Fabric, Data Lake)
- Enterprise data modelling (dimensional, lakehouse, medallion architecture)
- Governance and security alignment
NICE-TO-HAVE
- Experience architecting data platforms for telecom or financial services
- Azure Solutions Architect Expert certification
- Knowledge of Microsoft Purview for data governance
- Experience with real-time and streaming architectures
