Lead Analytics Engineer, AI Native Self Service Analytics
Core
Building the technical foundations, modeling standards, and development practices for an AI-native data platform to enable self-service analytics and trusted data products across the company.
Role type
Principal/Lead Analytics Engineer (AI Native)
Builds
Canonical datasets, shared metrics, semantic layers, data quality/observability systems, and AI agents/tools for self-serve analytics.
Domain
Data Engineering & Analytics Engineering (AI Native)
Deliverable
production ML models | product features
Required skills
Analytics Engineering, Data Modeling, Semantic Layering, Data Governance, SQL, AWS, Databricks, Airbyte, Fivetran, Looker, Cross-functional Leadership, Technical Strategy
Preferred skills
Python, Data Cleanup, Role-based Access Control, Incident Response
Technologies
AWS, Databricks, Airbyte, Fivetran, Looker
Responsibilities
Design and build canonical data models and semantic layers for self-serve analytics; develop data quality, observability, and governance systems; lead cross-functional data initiatives from strategy to production; guide technical decisions on data architecture and tooling.
Seniority
Principal/Lead, Senior Individual Contributor
