GCP Data Architect - S

Job description

**Must-Have** - Strong hands-on experience with BigQuery Pub/Sub, Python, data pipelines (batch and streaming) with Dataflow/Dataproc/Spark - Proficiency in SQL - Serverless Computing:Leverage GCP's serverless offerings such as Cloud Functions, App Engine, and Cloud Run. - Infrastructure as Code (IaC):Develop and manage Terraform scripts for provisioning and managing GCP infrastructure, ensuring repeatability and consistency in deployments. - Memory Management: Optimizethe performance of applications and systems through effective memory management strategies, ensuring efficient resourceutilization. - Data Integration and Messaging:Design and implement messaging and event-driven architectures using Pub/Sub and other GCP services for real-time data processing and integration. - Python Scripting:Write andmaintainPython scripts for automation tasks, custom solutions, and integration with GCP APIs. - Best Practices and Governance: Establishand enforce best practices for cloud architecture, including security, cost management, and compliance. Implement governance models to ensure consistent cloud operations. - Training and Mentorship:Provide training, guidance, and mentorship to internal teams and customers on GCP services and best practices. - Troubleshooting and Support:Act as an escalation point for complex technical issues, providing hands-on support and guidance to resolve critical cloud-related challenges. **Good-to-Have** - Proven experienceas aCloudprojectswith a focus on Google Cloud Platform (GCP). - Deep knowledgeof GCP services, including but not limited to Compute Engine, App Engine, Cloud Functions, Pub/Sub, VPCs, Cloud Storage, andBigQuery. - Strong understandingof networking concepts, including DNS, VPN, firewalls, and load balancing. - Expertisein Terraformfor infrastructure as code (IaC) deployments on GCP. - Proficiencyin Python scriptingfor automation and custom solution development. - Experience with serverless computingand designing event-driven architectures. - Familiarity with memory managementtechniques in cloud environments. - Excellent communication skillsto interact with customers, understand their needs, and deliver clear, actionable advice. - Strong problem-solving skillswith the ability to troubleshoot complex issues in a cloud environment. - Certification in Google Cloud(e.g.,ACE andProfessionalData Engineer) ismust.