Analytics Architect (all genders) Full-Time/Part-Time

Heute
Darmstadt
Vollzeit, Teilzeit
Geschätztes Gehalt

Das könntest du laut kununu User:innen als Architekt:in in Deutschland verdienen

Ø 52.100 €
Bruttodurchschnittsgehalt Vollzeit
36.100 €77.500 €
Was die Firma über den Job sagt

Analytics Architect (all genders) Full-Time/Part-Time

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.  


Analytics Architect (all genders)

Your Role

In your role as Analytics Architect (all genders), you will partner with business stakeholders, product teams, and technical experts to translate complex data needs into scalable, secure analytics solutions. You will define and govern the architecture of cloud-native data platforms, prioritize reusable data products, and drive the design of robust pipelines and analytical datasets. Focus areas include Snowflake-driven data models, data security and governance, and enabling self-service analytics for diverse functions. You will establish architectural standards, reference architectures, and best practices, mentor engineers, and collaborate in an agile, product‑oriented environment to deliver value that users can trust and reuse across the organization.

Who you are:

  • University degree in Information Technology, Computer Science, Finance, Business Administration, or related field
  • 5+ years in data engineering, analytics architecture, or data visualization in a global context
  • Strong experience with Snowflake; familiarity with Palantir Foundry or AWS is a plus
  • Proficient Python (incl. PySpark), SQL, ETL/ELT, REST APIs; Spark and Kafka knowledge is advantageous
  • Proven technical leadership in agile teams; ability to mentor engineers
  • Deep understanding of data architecture, security, governance, and lifecycle management
  • Experience with enterprise data in Finance, HR, Procurement, or similar domains
  • Fluent English; German language proficiency is desirable for collaboration with local teams

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety 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 a team that is dedicated to Sparking Discovery and Elevating Humanity!

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