Solution Architect-Data Platforms

Introduction
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.
Your Role And Responsibilities
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.
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.
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.
Deliver Client-Facing Solutions: Collaborate with clients to understand their needs and deliver customized data solutions that meet their business objectives.
Preferred Education
Master's Degree
Required Technical And Professional Expertise
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.
Cloud-Native Platform Expertise: Experience with Cloud-native platforms such as AWS, Azure, Google, IBM Cloud, or Cloud-Native data platforms like Snowflake.
HADOOP Framework and Ecosystem: Experience with HADOOP Framework, Ecosystem, MapReduce, and Data on Containers (data in OpenShift).
Preferred Technical And Professional Experience
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.
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.

Work arrangement
Hybrid