Senior Analytics Engineer

Required

• 5+ years of experience in analytics engineering, data engineering, or related roles.
• Deep data modeling expertise. You have designed dimensional models from scratch and integrated them into a cohesive analytics architecture to serve your stakeholders. You understand grain, SCD types, and fact table design tradeoffs.
• You can handle complex modeling scenarios, such as conforming dimensions across business use cases, modeling many-to-many relationships, handling late-arriving and restated data, and keeping models usable as the source systems evolve.
• You treat data quality as a design problem, not a cleanup task. You have built testing and monitoring into pipelines, defined SLAs or expectations with data owners, and managed the on-call/triage side of keeping data trustworthy.
• You judge your work by its usability to your stakeholders over the long-term, not just by speed of delivery, underlying architecture elegance, or immediate use case.
• Production dbt experience. You understand model materialization strategies, testing, macros, and how to keep a growing project maintainable.
• 2+ years of experience with BI tools (Looker preferred) and an understanding of how modeling choices shape what's possible in the analytics layer.
• Strong cross-functional communication skills and the ability to influence stakeholder & business decisions.
• Strong problem decomposition: you can understand the underlying problem in requests that you receive and align them with our modeling roadmap and architecture.