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 engineeringDeep knowledge of GCP services such as BigQuery, Pub / Sub, and Cloud StorageExperience with Apache Beam, Cloud Composer, and data orchestrationSolid understanding of cloud security (IAM, DLP, VPC-SC)Hands-on experience with Terraform or similar IaC toolsProficiency in CI / CD and version control for data workflowsExcellent stakeholder communication skillsFluency in German (spoken and written)Willingness to work onsite in GermanyProfessional Cloud Architect (PCA) or equivalent GCP certification requiredWe offer
Fully remote work with flexible working hours - EMEA Timezone.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.💡 Don’t miss out on tailored opportunities!
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