Lead Cloud Platform Engineer (Full-/Part-time) (all genders)

at  Merck Group

Work Your Magic with us!
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That’s why we are always looking for curious minds that see themselves imagining the unimaginable with us.
As the Lead Cloud Platform Engineer for Data, Analytics & AI in the Life Science Analytics Center of Excellence (ACE), you will be responsible to deliver our best-in-class Data, Analytics and AI platform to all Life Science employees by leveraging the group-wide UPTIMIZE platform with the goal of accelerated use case development. As a lead expert, you will be a role-model for all data scientists, engineers and analysts in ACE and the wider Life Science Sector. In your day-to-day work, you will closely align with your IT counterparts and other leaders in the organization.

• Establishing connectivity blueprints and architectural guidance for bi-directional, secure and performant data flows between all relevant LS systems and UPTIMIZE Foundry.
• Advising and making direct strategic decisions about platform selection for larger sector-wide initiatives and use cases and executing the implementation of custom platform environments on UPTIMIZE.
• Providing a best-in-class developer experience and governance model for all data analysts, engineers and scientists within the sector, striving towards giving developers the tools and support they need to be productive and happy.
• Contribute to the federated ACE engineering practices and moderate the evolution of them. Provide upskilling content for the engineering team on new technologies or platform features.
• Building sector specific, end-user facing platform tooling.
• Securing the day-to-day operation of all ingestions and use cases on the platform by being a full-stack technical expert and solving escalations by partnering closely with vendor product development organizations.
• Bringing in new innovations and technologies into the engineering teams.
  This is an exciting role with the potential to leverage technology and creativity to accelerate the efficiency of data, analytics and AI delivery in Life Science, and will be highly visible at all levels of the organization.