Lead GCP data Engineer

We are seeking a highly skilled and visionary Principal Google Cloud Consultant with deep experience in large enterprise environments to lead the design and implementation of scalable, secure, and innovative cloud solutions. This role requires expertise in Google Cloud Platform (GCP), strong problem-solving skills, and the ability to collaborate across diverse teams to deliver impactful business outcomes in complex enterprise settings.Key Responsibilities• Lead the architecture, design, and deployment of cloud-native solutions on GCP tailored to large enterprise use cases such as platform modernization, data transformation, and operational efficiency.• Collaborate with cross-functional teams to understand enterprise-scale business requirements and translate them into technical solutions.• Provide strategic guidance on cloud adoption, migration, and modernization initiatives across hybrid and multi-cloud environments.• Lead large-scale cloud transformation programs, including zero-downtime migrations and modernization of mission-critical systems.• Apply microservice architectures, DevSecOps practices, and CI/CD pipelines to modernize legacy systems.• Drive adoption of emerging technologies such as AI, ML, IoT, and hyperautomation in enterprise environments.• Design and implement Agentic AI systems, including the use of LLMs, orchestration frameworks, and retrieval-augmented generation (RAG) to build intelligent, autonomous workflows.• Lead software modernization initiatives, transforming legacy applications into scalable, cloud-native architectures using modern development practices and tools.• Scope, estimate, staff, and deliver large-scale and complex technology programs, ensuring alignment with business goals, timelines, and budgets.• Effectively communicate complex technical solutions to both technical and business executives, bridging the gap between engineering and strategic decision-making.• Lead Google Cloud foundational implementations, including identity and access management, networking, landing zones, and enterprise-grade security and governance frameworks tailored to industry-specific needs.• Manage and mentor senior technical engineers and consultants, with at least 7+ years of experience in team leadership and talent development.• Contribute to the development of reusable assets, best practices, and thought leadership in cloud consulting for large organizations.• Support production-grade solution management, including testing, monitoring, and lifecycle governance.Required Qualifications• 12+ years of experience in creating, owning, managing, architecting, and leading both technical and strategically focused pre-sales efforts for emerging technology solutions.• 7+ years of experience managing senior technical engineers or consultants in complex, high-performance environments.• Proven experience as a cloud consultant or architect with a focus on Google Cloud Platform.• Experience working with or consulting for large enterprise organizations. • Strong background in software development, cloud-native architecture, and platform engineering.• Hands-on experience with Kubernetes, containerization, service meshes, and observability/telemetry solutions.• Familiarity with cloud networking, security, and compliance in regulated industries.• Excellent problem-solving and analytical skills.• Strong verbal and written communication skills.• Demonstrated ability to collaborate effectively with cross-functional teams.• Relevant training and/or certifications in computer science, cloud technologies, or a related field.Preferred Qualifications• Experience with cloud environments beyond GCP (e.g., AWS, Azure).• A creative approach to problem-solving using emerging technologies.• Google Cloud Professional Cloud Architect certification.• Experience in the telecommunications industry, including: - Leading modernization of telecom platforms and services. - Implementing cloud-native architectures for network and data platforms. - Working with large-scale, high-availability systems in telecom environments. - Applying observability, telemetry, and service mesh technologies in telecom use cases

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