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.
Define and govern data architecture patterns supporting AI, BI, and automation delivery.
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Define lakehouse and warehouse architecture patterns to support telecom analytics (network performance, subscriber management) and fintech reporting (revenue, fraud, credit portfolios)
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Guide data engineers on design decisions, platform standards, and best practices
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Align architecture with governance and security requirements for sensitive customer, network, and financial data
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Design scalable data models for Customer 360, network analytics, fraud detection, and financial regulatory reporting
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Evaluate and recommend data technologies aligned with the Azure and Microsoft Fabric ecosystem
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Azure data architecture (Synapse, Data Factory, Databricks, Fabric, Data Lake)
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Enterprise data modelling (dimensional, lakehouse, medallion architecture)
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Governance and security alignment
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Experience architecting data platforms for telecom or financial services
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Azure Solutions Architect Expert certification
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Knowledge of Microsoft Purview for data governance
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Experience with real-time and streaming architectures