Cloud Data Architect GCP | German speaking

We are looking for an experienced Cloud Data Architect to support our client in Germany in designing and delivering complex data infrastructure on Google Cloud Platform. This is a full onsite role requiring fluency in German. The project involves enterprise-level architecture, real-time data processing, and advanced machine learning integration in a secure, scalable cloud environment.

Responsibilities

• Design and implement cloud-native data architectures using GCP.

• Build and manage ETL/ELT pipelines with tools like Dataflow, Dataproc, and Apache Beam.

• Enable both batch and real-time data processing.

• Apply data governance, IAM, and compliance frameworks.

• Integrate machine learning capabilities (Vertex AI, AutoML, TensorFlow).

• Use Infrastructure as Code (Terraform, Deployment Manager).

• Set up CI/CD processes for data pipelines (Cloud Build, GitOps).

• Work closely with business and technical stakeholders on architecture design.

  
  

Requirements

• 5+ years of experience in cloud data architecture or data engineering.

• Deep knowledge of GCP services such as BigQuery, Pub/Sub, and Cloud Storage.

• Experience with Apache Beam, Cloud Composer, and data orchestration.

• Solid understanding of cloud security (IAM, DLP, VPC-SC).

• Hands-on experience with Terraform or similar IaC tools.

• Proficiency in CI/CD and version control for data workflows.

• Excellent stakeholder communication skills.

• Fluency in German (spoken and written).

• Willingness to work onsite in Germany.

• Professional Cloud Architect (PCA) or equivalent GCP certification required.

We offer

• Long-term collaboration on B2B contract.

• Opportunity to work on complex cloud projects for international clients.

• Professional growth in a highly skilled and supportive team.

• Collaborative and open working culture.