We're looking for a Senior Data Platform Engineer to take ownership of the platform that powers our data products, from real-time APIs our customers depend on to the batch pipelines behind our analytics. You'll work across a lambda architecture that combines a low-latency streaming layer built in Go with a batch layer on Google Cloud, running on infrastructure spread across AWS, Azure, and GCP in regions around the world.This is a hands-on senior role with real technical leadership. Beyond building and maintaining the platform, you'll set the bar for engineering quality on the team, shape how we design services so they stay modular and scalable as we grow, and act as tech lead and mentor for junior engineers.Build and evolve the data platformDevelop and maintain our real-time layer, including the Go-based gateway and processing engine that serve customer-facing workloads with high availability and low latency.Own and improve the batch layer on GCP, working with BigQuery, Airflow, and dbt to deliver reliable, well-modelled, and cost-efficient pipelines.Keep the speed and batch layers consistent with each other, making sure data is correct, reconcilable, and trustworthy regardless of which path it takes.Design and ship customer-facing backend servicesDesign, build, and operate backend APIs that customers use directly, with strong attention to contracts, versioning, performance, and backwards compatibility.Think through failure modes, observability, and scaling up front, so services behave predictably in production.Own multi-cloud infrastructureManage and evolve our infrastructure across AWS, Azure, and GCP in multiple global regions using Terraform.Improve how we structure infrastructure code through reusable modules, sensible environment separation, and safe, repeatable…