GCP Data Architect

Required Technical Skill Set

Google Cloud Platform (GCP) services. Strong hands-on experience with BigQuery Pub/Sub, data pipelines (batch and streaming) with Dataflow/Dataproc/Spark, SQL and Python

Desired Experience Range

10-15 yrs

Location of Requirement

Pan India

Desired Competencies

Must-Have

- Solid 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: Optimize the performance of applications and systems through effective memory management strategies, ensuring efficient resource utilization.
- 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: Establish and 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.

Role descriptions / Expectations from the Role

- Own end-to-end data architecture on GCP, including reference architectures, standards, patterns, and roadmaps.
- Design batch and streaming ingestion using Pub/Sub, Dataflow, Dataproc, Transfer Service, and partner tools; define schemas and contracts.
- 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.

📌 GCP Data Architect (Hyderabad)
🏢 Tech Mahindra
📍 Hyderabad