What You'll Do
- Set the technical direction for the analytics team (architecture, conventions, approach).
- Raise the technical floor through code review, design reviews, and pairing, holding a consistent bar for what ships.
- Own the architecture of our data models, with accountability for long-term maintainability rather than just the models you write yourself.
- Own the semantic layer, metric definitions, and governed self-service, so stakeholders can answer their own questions correctly.
- Act as the primary technical partner to Product, Finance, Marketing, and Engineering, translating what they need into a roadmap the team can execute.
- Negotiate scope directly with stakeholders.
What We're Looking For
- 8+ Years experience working with data in a software environment.
- Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and data integrity testing frameworks. Experience with dbt orchestration and best practices.
- You have a track record of working autonomously and proactively, with deep domain knowledge of data analysis and data systems.
What We Offer
In this role, you will have the opportunity to directly shape our data ecosystem by building robust pipelines and applying modern software engineering principles like version control and automated testing. You’ll work closely with key stakeholders to drive data-driven decision-making.
Additional Information
Experience Level
Mid-Level
Employment Type
full-time
Work Mode
Remote