Create and evolve Terraform modules to standardize data platform components (networking, IAM, storage, compute, pipelines, etc.).
Architect, develop and maintain ETL/ELT pipelines and processes, ensuring quality, scalability and observability.
Establish standards and best practices for DataOps, including versioning, testing, deployments and monitoring.
Provide technical and consultative support to data teams, helping to design robust solutions aligned with corporate architecture.
Implement governance, security and cost-optimization mechanisms in cloud data environments.

Strong experience with Terraform and infrastructure as code.
Hands-on experience with cloud (AWS, Azure or GCP), especially with data services.
Deep knowledge of pipelines, ETL/ELT and data architectures (Data Lake, DW, Lakehouse).
Proficiency in Python and SQL.
Experience with CI/CD applied to data and automation.
Knowledge of containers (Docker) and, preferably, Kubernetes.
Experience creating Terraform libraries or modules at enterprise scale.
Experience with orchestrators such as Airflow, Prefect, Dagster or Step Functions.
Familiarity with monitoring and observability tools (CloudWatch, Grafana, Datadog).
Cloud or data engineering certifications.

DataOps Specialist – Cloud & Data Platform

Key skills