• Lead the design and implementation of enterprise-scale DataOps platforms and automation frameworks. • Architect and evolve GCP-native data platforms supporting high-throughput batch and real-time workloads. • Design and implement microservices-based data architectures using containerization technologies. • Build and maintain CI/CD pipelines for data workflows, including automated testing and deployment. • Develop Infrastructure as Code (IaC) solutions to standardize and automate platform provisioning. • Implement robust data orchestration, monitoring, and observability capabilities. • Establish and enforce data quality frameworks to ensure reliability and trust in data products. • Support real-time data platforms operating at extreme scale. • Partner with platform squads to deliver self-service data infrastructure products. • Drive best practices for automation, resiliency, scalability, and operational excellence. • Influence technical direction, mentor senior engineers, and lead through ambiguity.