Enterprise Data Architect: BIG Data Lausanne Switzerland

ENTERPRISE DATA ARCHITECT: LAUSANNE SWITZERLAND

BIG DATA ARCHITECT. HADOOP DATA, HDFS/YARN/SPARK/STORM/HIVE/HBASE), MONGODB, CASSANDRA, ELASTICSEARCH.

REQUIREMENTS & EXPERIENCE

- experience with the major open source and/or commercial big data solutions such as the Hadoop Data Platform (including components eg HDFS/YARN/Spark/Storm/Hive/HBase), MongoDB, Cassandra, Elasticsearch
- good understanding of data governance and data security challenges. Familiarity with related tools such as Apache NiFi/Atlas/Ranger is a plus.
- familiarity with major programming/Scripting languages eg Java, Python, R, Scala
- experience in designing solutions for large, federated data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and knowledge on NoSQL platforms
- experience with one of the large cloud-computing infrastructure solutions such as Amazon Web Services or Microsoft Azure

THE JOB The Enterprise Data Architect is responsible for building the big data analytics platform which will serve the needs of all the clients product units. As member of the CIO Office, he/she ensures that the corporate Data Platform fulfils the needs of data scientists, developers, and business analysts from the various product units.

RESPONSIBILITIES

- Gather and analyze the data analytics needs of the client.
- Select appropriate cloud and/or on premise infrastructure (with the support of infrastructure architects) and tools to build our corporate Data Platform
- manage the full life cycle of a the data platform. This includes creating the requirements analysis, design of the technical architecture, implementation, testing, and deployment of the proposed solution.