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 MISSIONDefine and govern data architecture patterns supporting AI, BI, and automation delivery.Key ResponsibilitiesDefine 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 practicesAlign architecture with governance and security requirements for sensitive customer, network, and financial dataDesign scalable data models for Customer 360, network analytics, fraud detection, and financial regulatory reportingEvaluate and recommend data technologies aligned with the Azure and Microsoft Fabric ecosystemMust-have SkillsAzure data architecture (Synapse, Data Factory, Databricks, Fabric, Data Lake)Enterprise data modelling (dimensional, lakehouse, medallion architecture)Governance and security alignmentNICE-TO-HAVEExperience architecting data platforms for telecom or financial servicesAzure Solutions Architect Expert certificationKnowledge of Microsoft Purview for data governanceExperience with real-time and streaming architectures