<p>We are looking for a <strong>Senior Data Platform Engineer</strong> to join the <strong>Data Platform</strong> at Smartly!</p> <p>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.
</p> <p>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.
</p> <p>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.
</p> <p>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.
</p> <h2>What you will do</h2> <ul> <li>Design and build platform services, tools, and workflows for contract-driven data publishing and consumption.
</li> <li>Build the first production path for platform-managed PostgreSQL publishing tables, Debezium CDC, Kafka topics, and catalog registration.
</li> <li>Create GitOps-style workflows where contracts, schemas, ownership, lifecycle, compatibility, policy metadata, and runtime desired state are reviewed, validated, and reconciled as code.