Job description

Getting a hundred engineers to adopt an event taxonomy is harder than designing the schema itself, and that is the real problem this Staff Analytics Engineer role exists to solve at Salla. You will own event instrumentation and behavioural data end to end, covering Salla's event taxonomy, tracking plans, schemas, identity model, and the validation that keeps all of it trustworthy. This work happens inside the engineering development lifecycle itself, in PRDs, design reviews, and pull requests, rather than downstream of it. Partnering with Product ensures every behavioural metric traces back to an event someone deliberately designed, documented, and monitored. Data models and transformation pipelines fall under direct ownership too, built and maintained to serve cross-functional stakeholders with scalable solutions. Quality and consistency in the data get protected through rigorous testing, validation, and monitoring practices, with issues spotted and fixed proactively before they spread. The data warehouse structure, data dictionary, and lineage all need documenting and maintaining, alongside data modeling best practices defined and enforced across teams. Analytics and business teams get supported in optimizing self-serve access to reliable metrics, while the developer experience across the data stack improves through automated workflows and simplified data discovery. This is a senior individual contributor role carrying company-wide influence, suited to someone comfortable driving adoption without formal authority.