A career in the company 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 company technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact.
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As a seasoned Solution Architect specializing in Data Platforms, you design end-to-end Big Data Solutions across various platforms, leveraging your extensive experience in managing large data repositories. You possess a deep understanding of industry standards, best practices, and key technologies such as the HADOOP Framework and Cloud native platforms. Your primary responsibilities will include:
- 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.
Requirements
- Education: Bachelor's Degree (Required), Master's Degree (Preferred)
- 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 (terabyte scale or larger).
- Industry Standards and Best Practices: In-depth knowledge of industry standards, best practices, and key technologies such as the HADOOP Framework, Ecosystem, MapReduce, and Data on Containers (data in OpenShift).
- Cloud Native Platforms: Experience with Cloud native platforms such as AWS, Azure, Google, company Cloud, or Cloud Native data platforms like 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.
Travel Requirements
Up to 60% or 3 days a week (home on weekends - based on project requirements)
Employment Type
Fixed Term (Fixed Term)
Location
Riyadh, Riyadh, Saudi Arabia
Work Arrangement
Hybrid.
