BENGALURU · FULLTIME
Solution Architect-Data Platforms
IBM
Bengaluru · onsite · Posted 20d ago
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Undisclosed5–10 yrsfulltimeBengaluru
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Section · 01
About this role
Your Role and Responsibilities:
As a Solution Architect specializing in Data Platforms, you design end-to-end Big Data Solutions across various platforms and manage large data repositories. You leverage expertise in industry standards, best practices, and leading technologies to create tailored data solutions for clients.
Your Primary Responsibilities Will Include:
- Design End-to-End Solutions: Design comprehensive Big Data Solutions across multiple platforms, incorporating industry standards and best practices to meet client needs.
- Manage Large Data Repositories: Oversee and maintain large data repositories, ensuring scalability and performance, and leveraging expertise in HADOOP Framework, Ecosystem, MapReduce, and Data on Containers.
- Develop Client Solutions: Create tailored data solutions for clients, utilizing Cloud and traditional data platform offerings, and collaborating to ensure seamless integration.
- Oversee Architecture: Lead the architecture for data platform and cognitive components, including unstructured data technologies, annotation, and related data and analytics.
- Implement Cloud Solutions: Apply expertise in Cloud native platforms, such as AWS, Azure, Google, IBM Cloud, or Cloud Native data platforms like Snowflake, to deliver scalable and efficient solutions.
Required Education:
Bachelor's Degree
Preferred Education:
Master's Degree
Required Technical and Professional Expertise:
- Data Platform Expertise: Exposure to designing end-to-end Big Data Solutions across various platforms, with a focus on industry standards, best practices, and leading technologies such as HADOOP Framework, Ecosystem, MapReduce, and Data on Containers.
- Large Data Repository Management: Experience working with large data repositories (terabyte scale or larger), ensuring scalability and performance, and leveraging expertise in data management.
- Cloud Platform Knowledge: Exposure to Cloud native platforms such as AWS, Azure, Google, IBM Cloud, or Cloud Native data platforms like Snowflake, with an understanding of their applications in data solution delivery.
- Data Solution Development: Experience creating tailored data solutions for clients, utilizing Cloud and traditional data platform offerings, and collaborating to ensure seamless integration.
- Unstructured Data Technologies: Exposure to unstructured data technologies, annotation, and related data and analytics, with an understanding of their applications in data platform and cognitive component architecture.
Preferred Technical and Professional Experience:
- Cloud Native Platform Expertise: Exposure to Cloud native platforms such as AWS, Azure, Google, IBM Cloud, or Cloud Native data platforms like Snowflake, with an understanding of their applications in data solution delivery.
- Unstructured Data Technology Knowledge: Exposure to unstructured data technologies, annotation, and related data and analytics, with an understanding of their applications in data platform and cognitive component architecture.
- Traditional Data Platform Familiarity: Exposure to traditional data platform offerings, with an understanding of their applications in data solution delivery and integration with Cloud platforms.
Years of Experience:5 - 10
Sourced from naukri
Section · 02
Skills
Repository Managementcloud platformscloud solutionscloud nativedata platformscloud platformamazon web servicesmapreduceAnalyticsClient SolutionscognitiveApache HadoopcloudArchitectureData ManagementSnowflakeMicrosoft AzureBig Data
Section · Company
About IBM
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