Solution Architect-Data Platforms

IBM; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

IBM Consulting is shaping hybrid cloud and AI journeys for clients worldwide. This role focuses on designing end-to-end data solutions, overseeing data platform architecture, and managing large repositories with Hadoop and data on containers.

You’ll create cloud-native data solutions across AWS, Azure, Google, IBM Cloud, or Snowflake to meet client needs. Preferred candidates hold a Master’s degree and have deep expertise in unstructured data technologies, annotations, and analytics, with

Qualifications

• Experience designing and overseeing architectures for data platform and cognitive components, including unstructured data tech.

Responsibilities

• Design End-to-End Solutions across platforms to meet client needs.
• Oversee architecture of data platforms and cognitive components, including unstructured data and annotation.
• Manage large data repositories with focus on scalability and performance (HADOOP ecosystem, MapReduce, containers).
• Develop cloud-based data solutions using AWS, Azure, Google, IBM Cloud, or Snowflake.
• Deliver client-facing data solutions aligned with business objectives.

Skills

Data platform architecture

Big data solution design

Large data repository management

Cloud-native platforms

Hadoop ecosystem

Education

Master's degree

Tools

OpenShift

AWS

Azure

Google Cloud

Snowflake

Job description

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

• 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.