Analytics Engineer, Semantic Layer
Core
Own the governed semantic layer of metrics, entities, and relationships to ensure consistent data definitions for dashboards, self-serve analysis, and AI-driven answers across the company.
Role type
Senior Analytics Engineer (Semantic Layer)
Builds
Certified metrics, queries, and BI artifacts (models, explores, dashboards) powering AI-assisted natural-language data querying.
Domain
Cybersecurity / Privacy / Data Infrastructure
Deliverable
production ML models
Required skills
SQL, dimensional data modeling, semantic layer tools (Looker/LookML, Omni, dbt Semantic Layer, Cube), dbt, Git-based workflows, cloud data platforms (AWS/Athena, Snowflake, BigQuery), AI tooling fluency
Preferred skills
Experience building semantic models for LLM-driven analytics
Responsibilities
Design and maintain the semantic layer including metric definitions and entity relationships; Build and curate certified metrics and queries for AI-assisted querying; Partner with stakeholders to resolve conflicting metric definitions; Write clean, tested, version-controlled SQL with data quality checks
Seniority
Mid-Senior, hands-on IC