Overview
Remote
$70 - $80
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 06 Month(s)
Skills
Google Cloud Platform
GCP
Python
Shell
Cloud KMS
VPC Service Controls
data security
identity management
encryption
Cloud Monitoring
Cloud Logging
CI/CD pipelines
AirflowComposer
Pub/Sub
BigQuery
Dataflow
Dataproc
data modeling
data governance
streaming analytics
Terraform
Azure DevOps
Job Details
Title: Google Cloud Platform (Google Cloud) Architect
Location: REMOTE
Duration: 06+ Months
Google Cloud Architect
Architecture & Design
- Design scalable, secure, and cost-effective cloud architectures using Google Cloud Platform services (e.g., Compute Engine, GKE, Cloud Functions, Cloud Run, BigQuery, Pub/Sub, GCS, Dataflow, etc.).
- Develop and maintain architectural blueprints, technical documentation, and best practices.
Pipeline Development & Automation
- Build and manage data pipelines using Google Cloud Platform tools (e.g., AirflowComposer , Pub/Sub, BigQuery, Dataflow, Dataproc)
- Create and maintain CI/CD pipelines using Azure Dev Ops GitHub
- Implement infrastructure-as-code (IaC) using Terraform or Google Cloud Deployment Manager.
Cloud Infrastructure Management
- Collaborate in the design and implementation of network architectures (VPCs, subnets, peering, VPNs, load balancing).
- Manage IAM, roles, and policies for secure access and governance.
- Oversee monitoring, logging, and alerting using Cloud Monitoring, Cloud Logging, and Ops Agent.
- Optimize cloud resource usage for cost efficiency and performance.
Security & Compliance
- Apply best practices for data security, identity management, encryption, and compliance (e.g., GDPR).
- Implement workload and data protection via Cloud KMS, VPC Service Controls, and Security Command Center.
Collaboration & Leadership
- Mentor data engineers and lead technical workshops or design reviews.
- Act as a subject-matter expert on Google Cloud Platform technologies and advocate for cloud adoption.
Programming & Scripting
- Proficiency in one or more languages: Python, and Shell scripting.
- Experience writing automation scripts and APIs for deployment and operations.
Data & Analytics
- Familiarity with ETL/ELT design and tools (BigQuery, Dataflow, Cloud Composer).
- Understanding data modeling, data governance, and streaming analytics.
Cloud Platform Expertise
- Deep understanding of Google Cloud Platform services: Compute, Storage & Databases, Networking, Security, and Monitoring
Soft Skills
- Strong problem-solving and analytical mindset.
- Excellent communication and ability to translate business requirements into technical solutions.
- Demonstrated leadership in cross-functional cloud initiatives.
- Proven experience working in agile or DevOps environments.
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