Introduction
As an IBM Application Architect, you directly help clients transform their business and solve complex problems. You will define the scope and vision for projects that deliver customized solutions using your knowledge of IBM platforms. You are a technical leader, serving as a liaison among business partners, technical resources, and project stakeholders.
Your Role and Responsibilities
Required Technical and Professional Expertise
Preferred Technical and Professional Expertise
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As an IBM Application Architect, you directly help clients transform their business and solve complex problems. You will define the scope and vision for projects that deliver customized solutions using your knowledge of IBM platforms. You are a technical leader, serving as a liaison among business partners, technical resources, and project stakeholders.
Your Role and Responsibilities
- Designs end to end Big Data Solutions across multiple platforms with extensive experience on very large data repositories (terabyte scale or larger).
- Strong understanding data lake approaches, industry standards and industry best practices.
- Detail level understanding of HADOOP Framework, Ecosystem, MapReduce, and Data on Containers (data in OpenShift). Applies individual experiences / competency and IBM architecting structure thinking model to analyzing client IT systems.
- Demonstrates detailed hands-on expertise in creating data solutions for client, creating best of breed end-to-end solutions leveraging Cloud and traditional data platform offerings.
- Oversees the architecture for the data platform & cognitive components including unstructured (e.g NoSql) data technologies, annotation and related data and analytics, e.g. Big Data, Data Warehouse, Data Integration, Enterprise Information Management, Master Data Management and/or Data Consolidation projects.
- Experienced with Cloud native platforms such as AWS, Azure, Google, IBM Cloud or Cloud Native data platforms like Snowflake.
Required Technical and Professional Expertise
Understanding of data lake approaches, industry standards and industry best practices
Experience with Cloud native platforms such as AWS, Azure, Google, IBM Cloud or Cloud native data platforms
Experience with Data platforms architecture, data platforms implementation
- Programming skills
- SQL
- Experience in data modelling, knowledge in different data model types like datavault, snowflake, star schema etc.
- Fluent in German
Preferred Technical and Professional Expertise
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More Information
Application Details
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Organization Details
IBM DE