Description
My client is looking for someone to lead the architectural track (of course in close collaboration with governance and organizational track).
Architectural challenges to be addressed in the track:
Creation of common landing zone between DWH and Data Lake
Move logic from DWH to source systems (strong link with IT transformation program around data and business capabilities)
Industrialization of advanced analytics (AI) use cases from POC to production (framework of tools and processes to ensure flexible experimenting in sandbox while ensuring later operational stability)
Curation of data-marts and move to self-service of end users
Model life cycle management for models build by data scientists
Evolution, simplification of integration and ETL tools
Clear guidelines around use of operational data stores, DWH, Data Lake
Required skills are:
Long-term experience in DWH, ETL tools, BI reporting tools, Data Lake (Hadoop, Hive, SQOOP, ) and how this links to operational applications
Enterprise architectural skills to determine the architectural vision, making a blueprint, defining the roadmap and the implementation plan.
Connecting to technical people (DWH architects, data engineers, developers, ) and executive people (CDO, CIO, ...)
d. Presentation and vulgarisation skills to bring difficult architectural material to people not familiar with data.
e. Experience in data transformations in large companies, including the aspects of change management
f. Skills to split the work in different blocks, setting up workgroups and a clear structure.