AWS Data Architect

About the Company : As a Solution Architect specializing in Data Platforms, you design end-to-end Big Data Solutions across various platforms and manage large data repositories. You leverage expertise in industry standards, best practices, and leading technologies to create tailored data solutions for clients.\n\nAbout the Role : Design End-to-End Solutions: Design comprehensive Big Data Solutions across multiple platforms, incorporating industry standards and best practices to meet client needs.\n\nResponsibilities :\n\nOversee Data Platform Architecture: Lead the development of architectures for data platform and cognitive components, including unstructured data technologies, annotation, and related data and analytics.\nManage Large Data Repositories: Manage and maintain large data repositories, ensuring scalability and performance, and leveraging expertise in HADOOP Framework, Ecosystem, MapReduce, and Data on Containers.\nDevelop Cloud-Based Solutions: Create data solutions using Cloud-native platforms such as AWS, Azure, Google, IBM Cloud, or Cloud-Native data platforms like Snowflake, tailored to client requirements.\nDeliver Client-Facing Solutions: Collaborate with clients to understand their needs and deliver customized data solutions that meet their business objectives.\n\nQualifications :\n\nData Platform Architecture: Experience with designing and overseeing architectures for data platform and cognitive components, including unstructured data technologies, annotation, and related data and analytics.\nBig Data Solution Design: Experience in designing comprehensive Big Data Solutions across multiple platforms, incorporating industry standards and best practices.\nLarge Data Repository Management: Experience managing and maintaining large data repositories (terabyte scale or larger), ensuring scalability and performance.\nCloud-Native Platform Expertise: Experience with Cloud-native platforms such as AWS, Azure, Google, IBM Cloud, or Cloud-Native data platforms like Snowflake.\nHADOOP Framework and Ecosystem: Experience with HADOOP Framework, Ecosystem, MapReduce, and Data on Containers (data in OpenShift).\nCloud-Native Platform Knowledge: Experience with Cloud-native platforms such as AWS, Azure, Google, IBM Cloud, or Cloud-Native data platforms like Snowflake, with the ability to design and implement scalable data solutions.\nUnstructured Data Technologies: Experience with unstructured data technologies, annotation, and related data and analytics, with the ability to integrate these into comprehensive data solutions.\nIndustry Standards and Best Practices: Experience with industry standards and best practices for data platform architecture and big data solution design, with the ability to apply these to meet client needs.\n\nPay range and compensation package : For any queries, reach out to:\n\nEqual Opportunity Statement : We are committed to diversity and inclusivity in our hiring practices.