Solution Architect-Data Platforms

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. 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. Your primary responsibilities will include:

• Design End-to-End Solutions: Design comprehensive Big Data Solutions across multiple platforms, incorporating industry standards and best practices to meet client needs.
• Manage Large Data Repositories: Oversee and maintain large data repositories, ensuring scalability and performance, and leveraging expertise in HADOOP Framework, Ecosystem, MapReduce, and Data on Containers.
• Develop Client Solutions: Create tailored data solutions for clients, utilizing Cloud and traditional data platform offerings, and collaborating to ensure seamless integration.
• Oversee Architecture: Lead the architecture for data platform and cognitive components, including unstructured data technologies, annotation, and related data and analytics.
• Implement Cloud Solutions: Apply expertise in Cloud native platforms, such as AWS, Azure, Google, IBM Cloud, or Cloud Native data platforms like Snowflake, to deliver scalable and efficient solutions.
• Data Platform Expertise: Exposure to designing end-to-end Big Data Solutions across various platforms, with a focus on industry standards, best practices, and leading technologies such as HADOOP Framework, Ecosystem, MapReduce, and Data on Containers.
• Large Data Repository Management: Experience working with large data repositories (terabyte scale or larger), ensuring scalability and performance, and leveraging expertise in data management.
• Cloud Platform Knowledge: Exposure to Cloud native platforms such as AWS, Azure, Google, IBM Cloud, or Cloud Native data platforms like Snowflake, with an understanding of their applications in data solution delivery.
• Data Solution Development: Experience creating tailored data solutions for clients, utilizing Cloud and traditional data platform offerings, and collaborating to ensure seamless integration.
• Unstructured Data Technologies: Exposure to unstructured data technologies, annotation, and related data and analytics, with an understanding of their applications in data platform and cognitive component architecture.
• Cloud Native Platform Expertise: Exposure to Cloud native platforms such as AWS, Azure, Google, IBM Cloud, or Cloud Native data platforms like Snowflake, with an understanding of their applications in data solution delivery.
• Unstructured Data Technology Knowledge: Exposure to unstructured data technologies, annotation, and related data and analytics, with an understanding of their applications in data platform and cognitive component architecture.
• Traditional Data Platform Familiarity: Exposure to traditional data platform offerings, with an understanding of their applications in data solution delivery and integration with Cloud platforms. India Software Engineering Hybrid Professional Bangalore, IN (0063) IBM India Private Limited