Cloud Architect -Data Ai (Valladolid)

Senior Cloud Architect – Data & AI

BABEL, a multinational technology consulting firm, is looking for a Senior Cloud Architect – Data & AI to lead the evolution of cloud‑native architectures in multi‑cloud environments (Azure and AWS) for a key financial sector project.

Responsibilities

• Design and define cloud‑native architectures in multi‑cloud environments, primarily Azure and AWS.
• Translate business, data, AI, security and operations requirements into scalable, resilient, cost‑efficient solutions.
• Define enterprise cloud architecture patterns including landing zones, networking, identity, security, observability, governance and workload isolation.
• Review and establish Infrastructure as Code standards using Terraform and cloud‑native tooling such as Bicep or CloudFormation.
• Promote CI/CD and DevSecOps practices, incorporating quality gates, automated deployments, vulnerability scanning and secure releases.
• Define reference architectures for production data and AI platforms, covering deployment, monitoring, logging, backup, disaster recovery and incident response.
• Ensure security‑by‑design principles (IAM/RBAC, encryption, secrets management, auditability, compliance, least privilege).
• Lead architectural governance, mentor technical teams, review designs and maintain architecture documentation (diagrams, ADRs, standards, implementation guides).

Qualifications

• Bachelor’s degree in Computer Engineering, Telecommunications, Mathematics, Physics, Industrial Engineering or related STEM discipline.
• Cloud architecture certifications in Azure and/or AWS (or equivalent proven knowledge).
• Minimum 2 years professional experience defining cloud‑native architectures in multi‑cloud environments.
• Experience supporting or designing AI/ML production applications and data platforms.
• Experience with streaming/event‑driven architectures (Kafka, Azure Event Hubs, AWS Kinesis, etc.).
• Experience translating business, data, AI, security and operations requirements into scalable, resilient, cost‑efficient cloud solutions.
• Leadership experience in technical teams, architectural governance, design reviews and strategic technology decisions.
• Experience designing data platforms: Data lakes, lake houses, data warehouses, Databricks, Snowflake, Cloudera, object storage, relational databases, distributed processing.
• Proficiency in English (minimum B2) and fluent Spanish.

Technical Skills

• Azure services: Landing Zones, AKS, Functions, App Service, Storage, Key Vault, Monitor, DevOps, Data Factory, Databricks.
• AWS services: VPC, IAM, EC2, ECS/EKS, Lambda, S3, RDS, CloudWatch, KMS, Organizations, Control Tower.
• Infrastructure as Code with Terraform, Bicep, CloudFormation.
• CI/CD and DevSecOps (quality gates, automated deployments, vulnerability scanning, secure release processes).
• Security and networking: IAM/RBAC, encryption, secrets management, auditability, compliance, least privilege, VNET/VPC, private endpoints, DNS, VPN, ExpressRoute, Direct Connect, firewalls, routing, segmentation.
• Container orchestration: AKS, EKS, Kubernetes.
• Cost optimization and FinOps (sizing, tagging, reserved capacity, autoscaling, cost governance).
• MLOps/LLMOps (MLflow, Kubeflow, Databricks ML, Azure ML, AWS SageMaker, LLM architectures, RAG, vector databases, agents, LangChain, LangGraph, CrewAI, MCP).
• API management and observability: API gateways, REST APIs, authentication, throttling, versioning; observability tools: Dynatrace, Kibana, Grafana, Prometheus, Azure Monitor, CloudWatch.
• Governance tools: C4 model, ADRs, TOGAF, Well‑Architected Frameworks, Cloud Adoption Frameworks.
• Programming/scripting: Python, C#, JavaScript, TypeScript.

Soft Skills

• Stakeholder collaboration with cross‑functional teams (Data Scientists, Engineers, Product Owners, CTOs, security, risk/compliance).
• Excellent communication skills: explain complex architectural decisions to technical and non‑technical audiences.
• Ownership and autonomy: drive architecture initiatives from requirements to solution approval and operational support.
• Documentation competence: produce and maintain architecture artifacts (solution designs, diagrams, ADRs, standards, implementation guides).
• Business orientation: focus on operational efficiency, scalability, resilience, cost control, alignment with product and business objectives.

EEO Statement

BABEL promotes diversity, equity and inclusion, guaranteeing equal opportunities for all candidates in a discrimination‑free environment.