Description
This is a senior individual contributor role in the Data Services & Governance team at Pleo, where you will act as the thought and technical leader owning the semantic layer and analytics standards. You will develop, improve, maintain, and evangelize modelling standards and AI-augmented development practices that every Analytics Engineer will work with.
Responsibilities:
- Own the semantic layer: define what a metric definition is, how it's structured, where it lives, and how it's enforced.
- Set data modelling standards for the function: what clean, layered, well-tested dbt architecture looks like across all domains.
- Build and run the Analytics Engineering community of practice including code reviews, shared patterns, documentation, onboarding, etc.
- Own the AI-native development practice: use AI coding tools as a native part of how you write, review, and migrate data models.
- Lead responsible AI-augmented migration work using AI tooling to accelerate data modelling and migrations.
- Design data models and metric definitions in a documented and structured manner enabling reliable consumption by AI services.
- Engage upstream with backend and product engineers to drive data contract discipline and schema ownership.
Requirements:
- Deep demonstrated expertise in dbt and modelling practices.
- Deep BigQuery and SQL expertise.
- Real experience owning a semantic layer.
- AI-native development practice in a data engineering context.
- A track record of setting standards across teams and making them stick.
- Understanding of what LLMs and agentic tools need from a data layer.
Nice to Have:
- Experience engaging credibly with backend engineers on data contracts and with senior stakeholders on what the semantic layer strategy means for the business.