Cloud Data Architect AWS / Google Cloud (all genders)

adesso SE; Saarbrücken; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

adesso SE is seeking a Cloud Data Architect AWS / Google Cloud, responsible for designing and implementing advanced cloud data platforms. The role requires extensive experience in data platforms, cloud analytics, and a solid understanding of Big Data technologies. Ideal candidates will possess strong project leadership skills and a commitment to quality, working collaboratively to support diverse clients. Join a team that values diversity and growth, and take your career to the next level in a supportive environment.

Qualifikationen

• 5+ years of experience in data platforms and cloud analytics.
• Experience as Product Owner, Data Architect, or similar.
• Deep understanding of modern data technologies like Data Lake and Delta Lake.

Aufgaben

• Design and implement cloud-based data platforms.
• Advise clients on architecture and evaluate new technologies.
• Lead projects ensuring quality and efficiency.

Kenntnisse

Data platforms

Cloud analytics

Big Data ecosystems

Kafka

Spark

Databricks

Delta Lake

Iceberg

Data Lake

DWH

Data Mesh

Ausbildung

Certifications in AWS or GCP

Jobbeschreibung

Cloud Data Architect AWS / Google Cloud (all genders)

Join to apply for the Cloud Data Architect AWS / Google Cloud (all genders) role at adesso SE.

Location: Multiple locations across Germany including Aachen, Düsseldorf, Köln, and others.

Role Overview: You will design and implement cloud-based data platforms, advise clients on architecture, and evaluate new AWS and GCP technologies. You will lead projects, ensuring quality and efficiency, and act as a key contact for clients and team members.

Requirements:

• At least five years of experience in data platforms, cloud analytics, and Big Data ecosystems (Kafka, Spark, Databricks, Delta Lake, Iceberg, etc.).
• Proven project experience as Product Owner, Data Architect, Lead Developer, or similar roles.
• Deep understanding of Data Lake, DWH, Data Mesh, Delta Lake, Databricks, and (py)Spark.
• Certifications in AWS or GCP are a plus.

Our Culture: We value diversity, teamwork, mutual respect, and support. We offer extensive training and clear career paths, fostering growth and development.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: IT Services and IT Consulting