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

Design End‑to‑End Solutions: Create tailored data solutions for clients, utilizing Cloud and traditional data platform offerings, and oversee the architecture for data platform and cognitive components.

Develop Data Strategies: Leverage expertise in managing large data repositories to develop effective data management strategies, incorporating industry standards and best practices.

Oversee Architecture: Guide the architecture for data platform and cognitive components, including unstructured data technologies, annotation, and related data and analytics.

Collaborate with Clients: Work closely with clients to understand their needs and deliver customized data solutions that meet their requirements.

Drive Technical Excellence: Stay up-to-date with emerging trends and technologies, applying deep expertise in data platforms to drive technical excellence and innovation.

Required Technical And Professional Expertise

Deep Expertise in Data Platforms: Proven experience designing end‑to‑end Big Data Solutions across various platforms, with extensive expertise in managing large data repositories with a focus on AI‑ready data.

Industry Standards and Best Practices: In‑depth knowledge of industry standards, best practices, and key technologies such as HADOOP, Apache Spark and Red Hat OpenShift.

Cloud Native Platforms: Experience with Cloud native platforms such as AWS, Azure, Google, IBM Cloud, or Cloud Native data platforms like Databricks and Snowflake, with the ability to leverage these platforms to create tailored data solutions.

Unstructured Data Technologies: Strong understanding of unstructured data technologies, annotation, and related data and analytics, with the ability to guide the architecture for data platform and cognitive components.

Data Management Strategies: Proven ability to develop effective data management strategies, incorporating industry standards and best practices, and leveraging expertise in managing large data repositories.

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