About the Job:
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 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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At the company 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 seasoned Solution Architect specializing in Data Platforms, you will:
- Design End-to-End Solutions: Create tailored data solutions for clients using Cloud and traditional data platform offerings, and oversee the architecture for data platform and cognitive components.
- Develop Data Strategies: Use your expertise in managing large data repositories to create 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 and related data 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 current with emerging trends and technologies, applying your deep expertise in data platforms to foster innovation.
Preferred Education:
Master's Degree
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 (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.
- Cloud Native Platforms: Experience with Cloud native platforms such as AWS, Azure, Google, company Cloud, or Cloud Native data platforms like Snowflake.
- Unstructured Data Technologies: Strong understanding of unstructured data technologies, annotation, and related data analytics.
- Data Management Strategies: Proven ability to develop effective data management strategies incorporating industry standards and best practices.
Preferred Technical and Professional Experience:
- Cloud Native Platform Expertise: Experience with Cloud native platforms to create tailored data solutions.
- HADOOP Framework Knowledge: Deep understanding of the HADOOP Framework and related technologies for designing end-to-end Big Data Solutions.
- Unstructured Data Technology Understanding: Strong knowledge of unstructured data technologies and their application in data platform architecture.
