Microsoft Fabric Solutions Architect
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Job description
We are seeking a highly experienced Microsoft Fabric Solutions Architect to design, oversee, and deliver robust, scalable data solutions. The ideal candidate will drive the overall architectural strategy and lead the technical execution of our data platform, with a strong focus on the integration, optimization, and best practices implementation of Microsoft Fabric. Responsibilities
- Lead the architecture and design of enterprise-scale data solutions on the Azure platform.
- Serve as the subject matter expert for Microsoft Fabric, directing its implementation and best practices.
- Develop end-to-end data pipelines, including ingestion, transformation, and storage strategies.
- Collaborate with stakeholders to translate business requirements into technical specifications.
- Ensure data security, governance, and compliance standards are met across all cloud environments.
- Mentor junior architects and engineers on Azure cloud services and Fabric capabilities.
Requirements
- Demonstrated 13+ years of experience serving as an Azure Solutions Architect or in a comparable senior technical leadership role.
- Bachelor’s and Master’s degree in computer science, engineering, or information systems.
- Extensive hands-on experience with Microsoft Fabric, Power BI, Azure Synapse Analytics, and Azure Data Factory.
- Strong understanding of Data Lakehouse architecture and Delta Lake.
- Proficiency in SQL, Python, or Spark.
- Experience leading architecture discussions with business and engineering leaders.
- Relevant professional certifications are a plus.
About the company
Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.
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