Senior Data Platform Engineer
Core
Design, build, and operate enterprise-scale data and event streaming platforms enabling hundreds of teams to move, transform, and consume data reliably at scale.
Role type
Senior Platform Engineer (Data & Event Streaming)
Builds
Cloud-native data platforms, event streaming clusters, scalable data pipelines, and integration services on GCP.
Domain
Retail / Enterprise Data Engineering & Cloud Infrastructure
Required skills
Apache Kafka, Kubernetes, Google Cloud Platform (GCP), Terraform, dbt, Java/Python, CI/CD pipelines
Preferred skills
Distributed event-driven architectures, large-scale enterprise system integrations, modern DevOps practices
Technologies
Apache Kafka, Kubernetes, GCP (BigQuery, Pub/Sub, Dataflow, Cloud Run, Cloud Workflows), Terraform, GitHub Actions, dbt
Responsibilities
Design and operate enterprise-scale data and event streaming platforms; Manage and optimize Apache Kafka clusters in production; Build and operate cloud-native solutions on GCP and Kubernetes; Develop scalable data pipelines and platform services; Implement Infrastructure-as-Code using Terraform and automate deployments; Monitor platform performance, reliability, and cost efficiency; Ensure platform security, compliance, and high availability.
Seniority
Senior, hands-on IC
