This role involves defining and implementing enterprise data platform architectures utilizing Microsoft Fabric and Azure services. The focus is on data modernization and migration, ensuring alignment with business objectives and technical best practices. Key areas include assessing current architectures, selecting appropriate patterns, and establishing robust governance and security frameworks.

Responsibilities include defining enterprise data-platform architecture and roadmap with Microsoft Fabric and Azure services. Assess business needs, current architectures, and migration priorities. Select suitable architectural patterns across various Fabric and Azure data services. Establish domain-oriented data architecture, standards, security, and governance. Lead platform sizing, capacity planning, performance strategy, and cost optimization. Define requirements for identity, access, networking, privacy, and business continuity. Create migration strategies for legacy systems and lead architecture reviews. Provide oversight to delivery teams and mentor senior engineers, ensuring technical outcomes and platform quality.

Mandatory technical skills include extensive experience architecting enterprise cloud data and analytics platforms, with deep expertise in Microsoft Azure data services and Microsoft Fabric. Strong knowledge of OneLake, Lakehouse, Data Factory, Spark, Delta Lake, Power BI, and real-time processing is essential. A solid understanding of enterprise data architecture, data mesh, data products, and metadata management is required. Expertise in security architecture, Microsoft Entra ID, RBAC, networking, and secrets management is crucial. Experience with CI/CD, Infrastructure as Code, capacity planning, performance engineering, and cost management is expected. Proven leadership in large migration programs and strong stakeholder communication skills are necessary.