Description
The Senior Data Platform Engineer will design, build, and evolve scalable data infrastructure supporting analytics, product applications, AI workloads, and large-scale model execution. Responsibilities include high-volume batch and near-real-time ingestion, data lake and microservices architecture, data pipelines, data quality and governance, Kubernetes and KEDA infrastructure, Terraform, CI/CD, testing, and performance tuning. The role requires at least five years of data platform or infrastructure engineering experience, along with expertise in data lakes, Kubernetes, Python, SQL, Terraform, data orchestration, and Snowflake.
