Cloud Data Architect

Job Title: Cloud Data Architect

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About the Role

Cloud Data Architect

This role is deeply technical and requires expertise in architecting secure, scalable, enterprise-grade cloud and container platforms.

Key Responsibilities

Cloud & Kubernetes Architecture

• Architect and implement cloud-native platforms on AWS/GCP/Azure.
• Design, deploy, and manage

  Kubernetes (control plane & data plane)

  across hybrid/on-prem/cloud.
• Build and manage large-scale, distributed, multi-node Kubernetes clusters.
• Configure and optimize networking, ingress controllers, service mesh, and cluster security.

Infrastructure Automation & DevOps

• Develop Infrastructure as Code (IaC) using Terraform.
• Build automation tools and scripts using Python, Shell, and CI/CD tools.
• Implement GitOps workflows using ArgoCD / Flux.
• Integrate CI/CD pipelines for cloud, microservices, and infrastructure automation.

Observability & Monitoring

• Design monitoring and observability stacks using:
• Prometheus
• ELK / EFK (Elasticsearch, Fluentbit, Kibana)
• Grafana
• OpenTelemetry
• Configure alerts, logging, distributed tracing, and performance tuning.

Networking, Security & Storage

• Architect secure network topologies: VPCs, firewalls, routing, mesh architectures.
• Implement Istio/Consul for service mesh, policy control, and MTLS.
• Define container security practices across image, runtime, and network levels.
• Integrate persistent storage, CSI drivers, backups, and DR.

API & Data Platforms

• Implement API Gateways (Kong preferred) for routing, auth, rate-limiting, and microservices exposure.
• Work with Kafka and event-driven architectures for distributed data processing.
• Build and scale mission-critical, real-time platforms with high availability.

Troubleshooting & SRE Practices

• Diagnose complex production issues involving networking, Kubernetes, and distributed systems.
• Implement SRE fundamentals: MTTR, SLO/SLI, resilience, autoscaling, load balancing.

Must-Have Skills

• 10+ years in Linux/Unix, cloud platforms (AWS/Azure/GCP), DevOps, and container ecosystems.
• 5+ years hands-on with Kubernetes (control & data plane).
• Strong expertise in Terraform and Python automation.
• Experience with Istio/Consul, Helm, API Gateways, and Kafka.
• Strong understanding of networking, security, and storage in cloud & Kubernetes.
• Experience with observability tools (Prometheus, ELK/EFK, Fluentbit, Grafana).
• Strong scripting in Python/Shell.
• Knowledge of REST & gRPC APIs.
• Exposure to GitOps and SRE practices.

Good-to-Have Skills

• Experience with multi-region/multi-cluster Kubernetes.
• VMware Tanzu and virtualization experience.
• Container security best practices.
• Advance network/firewall/storage troubleshooting.