Senior Data Platform Engineer, Remote at Experian

Overview We are looking for an accomplished Principal Data Platform Engineer to lead the design, implementation, and governance of complex database and BigData solutions that support large-scale, mission-critical business operations. You will have expertise in both on-premises and cloud-based Data Platform architectures across AWS. You will also use DevOps and automation tools to refine provisioning, deployment, and monitoring. You will collaborate with architecture and business teams to enhance the data ecosystem and recommend solutions for complex challenges. You are a hands-on technologist, able to guide innovation, performance, and scalability across diverse platforms. You will report to the Director of Data Strategy.   Responsibilities • Lead global teams in design and architecture discussions with partners, developers, and platform engineers. • Implement scalable and secure database architectures for enterprise systems across multi-availability-zone, multi-region cloud-native platforms (AWS, and private cloud). • Optimize applications and databases to use the full capabilities and cost efficiencies of AWS cloud-native RDS & EMR platforms. • Review, configure, and maintain globally distributed data platforms that are available and scalable. Collaborate with IT, DevOps, and application teams to ensure seamless integration with existing systems • Manage automated operations, deployments, patching, upgrades, and capacity planning through CI/CD pipelines and Infrastructure as Code (IaC) tools ensuring secure and scalable database operations across multi-cloud environments. • Monitor, troubleshoot, and fine-tune database performance to ensure scalability across multi-cloud environments. • Implement data protection strategies, including encryption and access controls. Support audit readiness and security reviews. • Manage regular maintenance windows to ensure system uptime. • Develop enterprise data models and enforce data standards, best practices, and governance frameworks to ensure data integrity and consistency.