Senior AI Data Engineer - Governance & Observability

Eaton; Moon Township (Allegheny County); Vor Ort; USD 146.000 - 215.000; Vollzeit

Zusammenfassung

Eaton's Corporate Information Technology team seeks a Principal AI Data Engineer to advance data governance, quality, and AI readiness across the enterprise. You will own data catalog connections, lineage, and Snowflake governance while shaping AI agent ecosystems and certification pipelines.

The role demands senior technical leadership with deep experience in data quality, observability, and cloud data platforms, including hands-on delivery in production environments and collaboration across

Qualifikationen

• Bachelor's degree required with 10+ years of professional experience.
• Minimum 5 years of hands-on data governance experience including data engineering and production data quality capabilities.

Aufgaben

• Build and operate the enterprise data quality capability across domains with an AI/data quality lens.
• Design and implement full-stack data observability with alerting and ticketing linked to data quality framework.
• Own connections within the enterprise data catalog and ensure data lineage across systems.
• Develop and curate Snowflake schemas for Data Governance; manage Atlan integrations.
• Pilot AI agents and governance schemas; ensure auditability and lineage traces.

Kenntnisse

SQL

Python

Data governance

AI governance

Data quality

Data lineage

Snowflake governance

CI/CD

Mentoring

Ausbildung

Bachelor's degree

Tools

Snowflake

Atlan

Palantir

Dataiku

Azure AI Foundry

MuleSoft

Power BI

Jobbeschreibung

Eaton's Corporate Information Technology team seeks a Principal AI Data Engineer to advance data governance, quality, and AI readiness across the enterprise. You will own data catalog connections, lineage, and Snowflake governance while shaping AI agent ecosystems and certification pipelines.

The role demands senior technical leadership with deep experience in data quality, observability, and cloud data platforms, including hands-on delivery in production environments and collaboration across