Sandisk is hiring a Staff Data Platform Engineer (Cloud-Native)

We are building a next-generation cloud-native data platform to support advanced analytics, automation, and data-driven decision-making across manufacturing operations. We are seeking an experienced Data Platform Engineer with strong backend engineering expertise and exposure to large-scale data systems. In this role, you will design and build scalable, reusable platform services in cloud-native environments that support multiple teams across the organization. You will play a key role in evolving our organization from delivering isolated data solutions to building a true data platform engineering capability, enabling operational intelligence and analytics at scale. Key Responsibilities - Lead the design, development, and maintenance of backend services and APIs, ensuring high scalability, reliability, and performance. - Build and maintain data pipelines for batch and streaming workloads. - Deploy and manage applications in containerized and orchestrated environments. - Integrate services with data storage systems, relational databases, and data platforms. - Contribute to CI/CD pipelines and automated deployment processes. - Participate in system design and architecture discussions, influencing platform standards and long-term technical strategy. - Collaborate with data engineers, platform teams, and cross-functional stakeholders to deliver integrated platform solutions. - Monitor, support, and continuously improve production services and platform reliability.