Usamos cookies técnicas y el registro de visitas anonimizado de Zorky. Yandex Metrica (los datos se guardan en servidores en Rusia) solo se activa con tu consentimiento. Nunca vendemos datos. Más sobre cookies y estadísticas.
Zorky está en modo de prueba: todo es gratis. Los empleos y las páginas de empresas están abiertos a todos; los enlaces a las ofertas y tu selección personal se abren tras registrarte. Regístrate →
← Todos los empleos

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

PrincipalofficeDarmstadt, Germany, DE →hace 2 sem.
Análisis del mercado
📊 Data Engineering: salarios y demanda en el mercado
Stack
agileawscloudfoundrykafkapysparkpythonrestsnowflakesparksql
Detalles
Prácticas
Agile
Mostrar empresa y enlace
Gratis, tras iniciar sesión.
Postular
Sube tu CV: empleadores y reclutadores de distintos países que buscan tu perfil podrán contactarte directamente.
Enviar tu CV →
Descripción

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 archi
Descripción completa, empresa y enlace para postular: después de iniciar sesión. Iniciar sesión
Los contactos del empleador (correo/teléfono/telegram) están ocultos en la vista previa pública. Envía tu CV para que los empleadores puedan contactarte directamente.
Denunciar esta oferta
¿Pregunta urgente? Escribe a @termdocs