Senior Cloud Architect / Data Engineer
Amongst others, the first set of potential use cases relate to an Industry 4.0 assembly machine.
For the newly PInS developed and built assembly machine, in-service performance is of crucial importance and predictive performance and predictive maintenance are mandatory to guarantee the customer required uptime and yield KPIs. The modelling of the machine will be the first use case to be executed by the Living Data Lab.
You are responsible for the design of the (short and longer term) cloud architectures of the data lab and data lake,
to support all data engineering efforts required to setup and implement the data lab,
to build/transfer knowledge to Philips project team members
Your activities include:
Setting-up a reusable standalone data lab and data lake (sandbox) environment for onboarding of data sets and analyses tooling
Working closely work together with Philips team members, especially the solution architect and data engineers
Initiate and coordinate improvement opportunities
Identify knowledge gaps and learning opportunities for Philips team members