Cross-functional Data Architect

Mission

We are looking for a cross-functional Data Architect (DevOps/FinOps) with strong expertise in GCP.

Responsibilities

• Designing and implementing robust and high-performance cloud data architectures
• Defining architectural standards and data governance frameworks across Data, AI, DevOps, MLOps, IT, and Cloud
• Establishing model governance and supervising the use of LLMs, including managing ethical and regulatory risks
• Writing, maintaining, and promoting best practices across Data (On-Premise & Cloud) and DevOps
• Integrating FinOps principles from the design phase of architectures
• Recommending performance monitoring approaches for Data/AI and supervising data pipelines
• Optimising GPU and cloud costs and implementing an AI-focused FinOps strategy
• Contributing to the definition of internal cost allocation (chargeback) models

Required Expertise

• Strong proficiency in Google Cloud Platform (GCP): BigQuery, Composer, Airflow, DataProc, DataFlow
• Experience with Terraform, Git, Jenkins
• Experience in hybrid environments (on-premise + cloud)
• Strong experience in DevOps and MLOps: Git, GitLab, GitLab CI, GitOps, Helm, ML pipelines
• Proven experience with DevOps, orchestration, and containerisation tools: Terraform, Ansible, Docker, Kubernetes
• Strong knowledge of FinOps, cost optimisation, and monitoring tools: ELK, Grafana, Prometheus, Google Monitoring