As an IBM Application Architect, you directly help clients transform their business and solve complex problems within the context of modern multi-cloud data & AI architecture. You will define the vision and scope for projects that deliver customized solutions using your knowledge of modern data platform approaches in a multi-cloud world. You are a technical leader, envisioning and designing modern data & AI platform architecture and implementing them together with a team of data engineers and AI consultants for our clients.
Your Role and Responsibilities
As an Architect - Modern Data Platforms & AI you will be part of our European Data & Technology consulting team where you will be responsible for providing technical thought leadership and solution expertise around Data & AI technologies. This includes technology assessment, use case development, as well as solution outline and design for modern data & AI architectures in hybrid- and multi-cloud scenarios. You'll be knowledgeable of traditional legacy DWH systems and state of the art cloud architectures.
As an Architect for Data Platforms you will design end to end Data to AI Solutions across multiple platforms. You`ll demonstrate hands-on expertise in creating data to AI platforms for clients, creating best of breed end-to-end solutions leveraging Cloud and traditional data platform offerings.
You`ll oversee the architecture for the data and AI components including unstructured data technologies, annotation and related data and analytics, e.g. Big Data, Data Warehouse, Data Integration, Master Data Management and/or Cloud Data transformation projects.
Locations: Berlin, Frankfurt, Hamburg, Mnchen, Dsseldorf
Required Technical and Professional Expertise
At least 5 years practical experience
with Cloud or Cloud native platforms such as AWS, Azure, Google,
in / with Big Data projects using Hadoop, Map Reduce, Spark, Python, SPSS/R or NoSql technologies
in across systems integration, information management business analytics and architecture
in data warehouse environment and knowledge of existing and emerging data integration approaches
in solution architecture in traditional information management
At least 3 years practical experience
in / with integration of Big Data to a traditional data architecture
in data architecture of designing and developing logical data models
in design with programming on high-scale or distributed systems (such as Hadoop)
in / with high performance distributed parallel file system storage technology such as GPFS, GFS, CloudStore, HDFS or similar
Preferred Technical and Professional Expertise
About Business UnitIBM is a team of business, strategy and technology consultants that design, build, and run foundational systems and that is the backbone of the world's economy. IBM partners wh the world's leading companies in over 170 countries to build smarter businesses by reimagining and reinventing through technology, wh s outcome-focused methodologies, industry-leading portfolio and world class research and operations expertise leading to results-driven innovation and enduring excellence.
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