Senior Data Platform Engineer

We are looking for a Senior Data Platform Engineer to join the Data Platform at Smartly! Smartly is building the standard path for governed data sharing across product services, analytics, and AI/ML.

The Data Platform team owns the contracts, control mechanisms, publication paths, catalog metadata, lifecycle rules, lineage, permissions, and runtime building blocks that make reusable data safe and practical at scale.

This is a role for someone who wants to shape a platform early, while working on concrete production problems from the start. Smartly already has the production systems, Kafka backbone, PostgreSQL databases, analytical consumers, and AI/ML use cases that need a better data foundation.

The challenge is to turn that reality into a standard path that engineers actually want to use.

Our first milestone is focused: centrally managed publishing tables in service-owned PostgreSQL databases, captured through Debezium CDC into Kafka, and registered in DataHub with ownership, lifecycle, lineage, and impact-analysis metadata.

Longer-term, the platform expands toward self-service data products, governed materialisations, durable shared state, and reusable data across Smartly's operational and analytical systems. This is not a role where you only maintain an existing reporting pipeline.

You will help design and build the platform path that other engineering teams use when they publish and consume shared data. What you will do Design and build platform services, tools, and workflows for contract-driven data publishing and consumption.

Build the first production path for platform-managed PostgreSQL publishing tables, Debezium CDC, Kafka topics, and catalog registration. Create GitOps-style workflows where contracts, schemas, ownership, lifecycle, compatibility, policy metadata, and runtime desired state are reviewed, validated, and reconciled as code.

Build tooling that gives product engineers fast feedback before they publish or change data products. Help define