IB
Job Description
Introduction
Build a long-term career in IBM Consulting through trusted client relationships and close global collaboration. You’ll partner with leading organizations across industries, supporting their hybrid cloud and AI transformation. Backed by strategic partners, proven IBM technology, and Red Hat, you’ll have the resources to drive meaningful change and help accelerate client outcomes. At IBM Consulting, curiosity drives success—challenging the status quo, testing new ideas, and creating solutions that produce measurable results. Our culture of growth and empathy supports your long-term career development, while recognizing and valuing your distinct skills and experiences.
Your Role And Responsibilities
As a Solution Architect focused on Data Platforms, you will design end-to-end Big Data Solutions across multiple platforms and oversee large-scale data repositories. Using your knowledge of industry standards, best practices, and leading technologies, you will deliver data solutions tailored to client requirements.
Your Primary Responsibilities Will Include
Master's Degree
Required Technical And Professional Expertise
Build a long-term career in IBM Consulting through trusted client relationships and close global collaboration. You’ll partner with leading organizations across industries, supporting their hybrid cloud and AI transformation. Backed by strategic partners, proven IBM technology, and Red Hat, you’ll have the resources to drive meaningful change and help accelerate client outcomes. At IBM Consulting, curiosity drives success—challenging the status quo, testing new ideas, and creating solutions that produce measurable results. Our culture of growth and empathy supports your long-term career development, while recognizing and valuing your distinct skills and experiences.
Your Role And Responsibilities
As a Solution Architect focused on Data Platforms, you will design end-to-end Big Data Solutions across multiple platforms and oversee large-scale data repositories. Using your knowledge of industry standards, best practices, and leading technologies, you will deliver data solutions tailored to client requirements.
Your Primary Responsibilities Will Include
- Design End-to-End Solutions: Create comprehensive Big Data Solutions across multiple platforms, applying industry standards and best practices to address client needs.
- Oversee Data Platform Architecture: Lead the design and development of data platform and cognitive component architectures, including unstructured data technologies, annotation, and related data and analytics.
- Manage Large Data Repositories: Administer and maintain large data repositories, supporting scalability and performance, using expertise in HADOOP Framework, Ecosystem, MapReduce, and Data on Containers.
- Develop Cloud-Based Solutions: Build data solutions leveraging Cloud-native platforms such as AWS, Azure, Google, IBM Cloud, or Cloud-Native data platforms like Snowflake, aligned to client needs.
- Deliver Client-Facing Solutions: Work with clients to understand their requirements and deliver customized data solutions that support their business objectives.
Master's Degree
Required Technical And Professional Expertise
- Data Platform Architecture: Experience 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 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).
- 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.
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