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