Senior Data Platform Engineer with CDC

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Description

At Intellias, we create technology that powers global businesses. Join a team that is building the standard way data is shared across products, analytics, and AI/ML platforms, making data discoverable, governed, and reusable at scale. What you'll do Design and build a next-generation Data Platform used by engineering teams across the organization. Develop data publishing and consumption services based on PostgreSQL, Debezium CDC, Kafka, and DataHub. Create GitOps-driven workflows for data contracts, schema governance, ownership, and lifecycle management. Build internal tools and automation that improve developer experience and enable self-service data products. Collaborate with Product, Platform, Data Engineering, Analytics, and AI/ML teams to define and implement data standards. Drive platform reliability, observability, lineage, and governance practices. What we're looking for ✅ Strong software engineering experience in backend, platform, infrastructure, or data-intensive environments ✅ Solid understanding of distributed systems, event-driven architectures, and scalability challenges ✅ Hands-on experience with: PostgreSQL or other relational databases Kafka, CDC, Debezium, or similar streaming technologies Kubernetes and cloud-native environments ✅ Experience building platforms, internal tooling, automation, CI/CD pipelines, or developer-facing services ✅ Ability to work through ambiguity, make architectural decisions, and deliver production-ready solutions ✅ Strong English

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