Lead Semantic Layer Engineer

Oracle

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
—
Salary
$99,600–$209,500 / yr
Posted
14 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $195k
This role $155k
$83k $253k
below market most similar roles pay here above market

This role pays less than 87% of similar roles. Most pay $165,000–$225,050 — the blue band above. At the midpoint, this role pays about $155k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 955 open roles on FindRole.

Listed pay typically runs $102,300–$234,600 across 790 roles with salary data.

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At a glance

TL;DR · Lead Semantic Layer Engineer

The Lead Semantic Layer Engineer joins the Product and Research team to build a governed semantic and knowledge foundation for AI agents and end users. This role involves designing and implementing a semantic layer that captures business entities, relationships, metrics, dimensions, hierarchies, glossary terms, lineage, and validation rules across priority analytics domains. The engineer will define certification workflows, maintain business glossary content, and reconcile metric definitions to support AI-driven analytics like natural-language search and dashboard generation. Key technical requirements include expertise in semantic layer design, data modeling, analytics engineering, SQL, and data warehouse concepts. The position focuses on creating a trusted, machine-usable metadata framework to ensure accurate, explainable, and enterprise-safe AI outputs while managing versioning and governance for all analytical assets.

What you'll do

  • Design and implement a governed semantic layer for entities, metrics, hierarchies, and business rules.
  • Define certification and validation workflows for all business metrics and semantic definitions.
  • Build and maintain a business glossary including synonyms, reference logic, and reusable definitions.
  • Expose trusted semantic definitions in machine-usable formats to enable AI and self-service reporting.
  • Establish documentation, lineage, versioning, and change-management practices for all semantic assets.
  • Reconcile metric definitions across teams to eliminate duplicate or conflicting business logic.
  • Create a governed knowledge foundation to ensure accurate and explainable AI outputs.

What we're looking for

  • This position requires a security clearance.
  • Applicants must be able to read, write, and speak English.
  • Experience in semantic layer design and data modeling is required.
  • Experience in analytics engineering and metric governance is required.
  • Proficiency in SQL and data warehouse concepts is required.
  • Experience with BI and reporting systems is required.
  • Experience with metadata, lineage, and documentation practices is required.
  • Experience with cloud-based software and Oracle Cloud Computing is required.

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