The Data Platform Engineering team is a collection of highly skilled individuals dedicated to building and scaling the infrastructure that powers our organization's data-driven initiatives. We are building a cutting-edge platform on Google Cloud (GCP) to handle petabyte-scale data processing, real-time analytics, and machine learning workloads. We champion a DevSecOps culture, and our core principles are centered around automation, quality, and Infrastructure as Code (IaC). You will solve problems creatively, communicate effectively, and proactively engage in technical decision-making to achieve our mission: raising the bar on how we manage and deploy data infrastructure. About the Role As a Data Platform Engineer, you will be responsible for building and maintaining the self-service platforms and frameworks used by our Data Scientists and Engineers. Your work will directly accelerate the development and deployment of batch and streaming data pipelines (using Spark, Flink, and Kafka/PubSub) and enable seamless, governed access to data in BigQuery. You will be a key contributor to our automation strategy, utilizing tools like Terraform for infrastructure provisioning and Argo/Jenkins for orchestration. You will serve as a Subject Matter Expert (SME) for our core data platform components, ensuring our environment is well-architected, secure, and optimized for performance and cost.
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Job Type
Full-time
Career Level
Mid Level