KEENFOLKS

Cloud Data Architect

KEENFOLKS

full-time

Posted on:

Origin:  • 🇪🇸 Spain

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Job Level

Mid-LevelSenior

Tech Stack

ApacheAWSAzureCloudDockerGrafanaKubernetesMicroservicesPrometheusSparkTerraform

About the role

  • Design secure, scalable, and cost-optimized multi-cloud architectures (AWS & Azure) and technology roadmaps
  • Define data ingestion, storage, processing strategies (batch + streaming) with full lineage, cataloging, and governance
  • Decide on build vs. buy for data/AI pipelines and integrate commercial and open-source tools
  • Ensure compliance with ISO 27001, SOC2, GDPR, and CCPA
  • Deploy Infrastructure-as-Code (Terraform, Bicep) and implement CI/CD for pipelines and microservices
  • Build modern data pipelines (Airbyte, dbt, Apache Spark, Azure Data Factory) and enable production ML/AI (Azure ML, SageMaker)
  • Run scalable workloads using Docker, ECS/Fargate, Kubernetes (EKS/AKS)
  • Establish monitoring and observability (CloudWatch, Azure Monitor, Prometheus, Grafana)
  • Apply security best practices (IAM, secrets management, API gateways, OAuth2, Cognito, Azure AD B2C)
  • Lead code reviews, define DevOps standards, drive engineering excellence, and mentor engineers
  • Partner with clients and internal teams to shape cloud strategies and ensure feasibility and compliance

Requirements

  • Bachelor’s degree in Business, Engineering, IT, or related field (Master’s a plus)
  • Proven experience designing cloud & data architectures on AWS and/or Azure
  • Strong hands-on DevOps expertise (IaC: Terraform, Bicep; CI/CD: GitHub Actions, Azure DevOps; Kubernetes)
  • Experience with modern data engineering tools (Airbyte, dbt, Apache Spark, Azure Data Factory)
  • Experience with containers and orchestration (Docker, ECS/Fargate, EKS/AKS)
  • Knowledge of observability tools (CloudWatch, Azure Monitor, Prometheus, Grafana)
  • Knowledge of security best practices and frameworks (ISO 27001, SOC2) and data privacy regulations (GDPR, CCPA)
  • Experience with IAM, secrets management, API gateways, OAuth2, Cognito, Azure AD B2C
  • Experience supporting ML/AI model deployment and MLOps (Azure ML, SageMaker)
  • Leadership skills to mentor engineers and collaborate with client stakeholders
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