Darmstadt, Hessen, Germany
3 days ago
Senior Data Architect (all genders)

 

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.  

 

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

 


Your role: Join us to contribute to our enterprise priority of driving innovation through data & digital in Healthcare! Well-structured, findable and easily accessible data is its core foundation, and we have therefore embarked on a mission to accelerate the provisioning of high-quality data. Your role will be to design, implement and enhance our data architecture as well as data flows, structures and processing. For this, you will work closely with our business stakeholders on a global, regional and local level to optimize the way we gather, structure and provision data. The data products you create will serve a broad variety of reporting, analytics, decision support and (Generative) AI solutions. They will also enable self-service data analytics by a variety of stakeholders and thereby contributing to Merck becoming an increasingly data-driven company. In creating these data products, you will be able to leverage an advanced analytics ecosystem build on modern Palantir Foundry, Snowflake and AWS cloud technology and become part of a team of highly skilled experts working on data ingestion, transformation and analysis. You will collaborate closely with the headquarter-based IT team and data & analytics developer teams located in Europe and India. You will be the single point of accountability for scoping, delivery and deployment of your data products.

 

Who you are:

Master’s degree in computer science, mathematics, business administration with a technical focus, or related subjects6+ years of experience as a data warehouse expert, data architect or data product ownerExperience in designing complex data models and data flow architecturesExperience working with CI/CD pipelinesExperience in working with data & analytics solutions such as Palantir Foundry, Snowflake and AWS, other datalake or data warehouses solutions beneficitalStrong drive to think of data products from end-to-end, i.e. from ingestion to data modelling and use case deliveryExperience with Healthcare Marketing and Sales is a plusExperience working with Azure Dev Ops is a plusExperience in working with warehouse automation tools (e.g. dbt, coalesce) is a plusExcellent English communication skills and ability to effectively communicate both with business teams and developersExperience working in virtual and scaled agile teams

HC-HF-III Data & AI 
AT Expert 3 


What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
 
Apply now and become a part of our diverse team!

 

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