Job Description

Job Summary

The GCP Data Architecture Lead is responsible for architecting and delivering large-scale, enterprise-grade data solutions using Google Cloud Platform technologies. This role drives the design, implementation, and governance of advanced data architectures, ensuring alignment with business objectives and industry best practices. The position provides strategic technical direction, fosters innovation, and champions the adoption of cutting-edge cloud and AI solutions to enable data-driven decision-making across the organization.

Key Responsibilities

1. Architect End-To-End Data Solutions Using Google Bigquery And Google Dataflow, Ensuring Scalability, Security, And Alignment With Enterprise Data Strategies.
2. Define And Enforce Data Architecture Standards And Governance Frameworks Leveraging Gcp-Native Tools, Ensuring Compliance And Best Practices Across All Projects.
3. Lead The Design And Integration Of Machine Learning Workflows Using Vertex Ai, Enabling Advanced Analytics And Ai-Driven Insights For Business Stakeholders.
4. Oversee The Implementation Of Devops Practices For Data Pipelines, Utilizing Python And Gcp Services To Automate Deployment, Monitoring, And Maintenance.
5. Collaborate With Internal Teams To Translate Complex Business Requirements Into Robust Technical Solutions, Providing Architectural Leadership Throughout The Project Lifecycle.
6. Mentor And Develop Technical Teams In Gcp Technologies, Promoting Continuous Learning And Adoption Of Emerging Cloud Data Trends.
7. Author Whitepapers And Represent The Organization In Industry Forums, Contributing Thought Leadership And Driving Innovation In Cloud Data Architecture.

Skill Requirements

1. Architectural Leadership In Google Bigquery, Google Dataflow, And Vertex Ai For LargeScale Data Solutions
2. Advanced Proficiency In Python For Data Engineering And Automation On Gcp
3. Solid Expertise In Implementing Devops Practices Within Cloud Data Environments
4. InDepth Understanding Of Gcp Security, Compliance, And Governance Frameworks
5. Excellent Skills In Designing, Optimizing, And Managing CloudNative Data Architectures
6. Strong Ability To Translate Business Needs Into Scalable Technical Solutions

Other Requirements

1. Google Professional Data Engineer Or Google Professional Cloud Architect Certification (Optional But Valuable