Solution Architect-Data Platforms

Role overview

Solution Architect-Data Platforms at IBM

Responsibilities

• You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results.
• Manage 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.

Employment details

• Location: Bangalore [India]

Application details

• Industry 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.

About the employer

• A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide.
• 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.
• Develop 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.
• Cloud-Native Platform Expertise: Experience with Cloud-native platforms such as AWS, Azure, Google, IBM Cloud, or Cloud-Native data platforms like Snowflake.

Additional role details

• You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys.
• At IBM Consulting, curiosity fuels success.
• 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.
• Oversee Data Platform Architecture: Lead the development of architectures for data platform and cognitive components, including unstructured data technologies, annotation, and related data and analytics.
• Deliver Client-Facing Solutions: Collaborate with clients to understand their needs and deliver customized data solutions that meet their business objectives.
• Data Platform Architecture: Experience with designing and overseeing architectures for data platform and cognitive components, including unstructured data technologies, annotation, and related data and analytics.
• Big Data Solution Design: Experience in designing comprehensive Big Data Solutions across multiple platforms, incorporating industry standards and best practices.
• Large Data Repository Management: Experience managing and maintaining large data repositories (terabyte scale or larger), ensuring scalability and performance.
• HADOOP Framework and Ecosystem: Experience with HADOOP Framework, Ecosystem, MapReduce, and Data on Containers (data in OpenShift).
• Cloud-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.
• Unstructured Data Technologies: Experience with unstructured data technologies, annotation, and related data and analytics, with the ability to integrate these into comprehensive data solutions.
• India Software Engineering Hybrid Professional Bangalore, IN (0063) IBM India Private Limited