Staff Analytics Engineer

📋 Description

• Own the semantic layer: define metrics, structure, location, and enforcement for a single canonical
• Set data modelling standards for the function across dbt architecture.
• Build and run the Analytics Engineering community of practice with code reviews, patterns, and
• Own the AI-native development practice: use AI coding tools as a native part of your workflow.
• Lead responsible AI-augmented migration work across the Analytics Warehouse and Operational Data
• Design data models and metric definitions enabling reliable AI service consumption.

🎯 Requirements

• Deep demonstrated expertise in dbt and modelling practices.
• Deep BigQuery and SQL expertise, including performance and cost considerations.
• Real experience owning a semantic layer (LookML, dbt MetricFlow, or equivalent).
• AI-native development practice in a data engineering context using AI coding tools.
• A track record of setting standards across teams you don’t directly manage.
• Understanding of what LLMs and agentic tools need from a data layer to provide consistent runtime