Seeking a Senior Platform Engineer with 7+ years of experience in managing Infrastructure as Code for cloud-based data platforms. Key responsibilities include designing, developing, and managing IAC for data pipelines, enabling CI/CD pipelines, and implementing security tools. Must have hands-on experience with Terraform, AWS, DevOps tools, and scripting languages such as Python or Groovy. Experience with Kafka, Apache NiFi, and cloud technologies such as AWS, Azure, or GCP is highly desirable. The successful candidate will be a collaborative leader with a growth mentality, prioritizing collaboration and improving processes and tooling. The role involves working in an agile team, guiding future development, and introducing new engineering patterns and frameworks. The ideal candidate will have a deep understanding of cloud technologies, architecture, and networking concepts, as well as security concepts and tools. They will be responsible for continuously improving the system architecture, advocating for automation, and maintaining metrics, logs, and reports. This is a high-level technical leadership position that requires a strong understanding of platform engineering practices and standards, with a focus on delivering high-quality solutions for data platforms. The role is part of the Data Solutions Engineering team, which provides engineering services for the Group's Operational Data Store, Enterprise Data Warehouse, and Enterprise Data Lake.