You design, develop and maintain our streaming and CDC backbone (Apache Kafka, Debezium, Schema Registry, BigQuery Sinks) and our self-built workflow management platform Navarch, running on Kubernetes
You drive architectural initiatives across the platform end-to-end — from idea to production — spanning streaming, orchestration, the warehouse and the observability layer that sits across them
You operate and evolve our BigQuery multi-project setup, shaping access management, partitioning, slot strategy and cost-aware design patterns
You shape how the platform supports domain analysts who ship their own pipelines — clear ownership boundaries, quality safeguards, and less hand-off friction between producers and the platform team
You build and maintain observability across the data platform (Datadog, Slack-native alerting, cost dashboards) and you take care of our CI/CD pipelines on our self-hosted GitLab instance
You shape how we manage BigQuery and Kafka cost at platform scale — FinOps is a live practice on this team, not a one-off
You bring a senior perspective into architectural decisions across the platform — design reviews, merge-request reviews, and the multi-quarter initiatives the team runs
Message brokers, ideally Apache Kafka (broker operations, schema registry, KRaft)
Change data capture, ideally Debezium
Orchestration tools (in-house, Airflow, Dagster or similar)
Public Cloud Providers, ideally Google Cloud Platform
Container orchestration, ideally Kubernetes (Helm, operators, KEDA/VPA)
Infrastructure as Code, ideally Terraform and/or Ansible
Data modeling and transformation, ideally dbt or comparable
You can articulate trade-offs in your past decisions — batch vs. stream, build vs. buy, latency vs. cost, isolation vs. coupling — with concrete numbers from your own work
You thrive in a Kanban-style, low-process environment where seniors organise their own work and rotate triage weekly
You are fluent in English (C1) and enjoy working in a dynamic, international environment