AI-First Semantic Layer Architect for Trusted Analytics

SmartRecruiters, Inc.

United States

Remote

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Sigma Software is seeking a Senior Analytics Engineer to help build an AI-first semantic layer that standardizes and governs business metrics across dashboards, reporting systems, analytical products, and AI-driven applications.

You will collaborate with Finance, Product, Ad Operations, Sales, and other stakeholders to translate business definitions into robust technical implementations and to develop scalable semantic models for enterprise analytics.

Qualifications

  • At least 5 years of experience in Analytics Engineering or Data Engineering.
  • Strong background in analytics engineering, data modeling, or business intelligence engineering.
  • Advanced SQL skills.
  • Commercial experience with dbt or similar modern data transformation frameworks.
  • Strong understanding of dimensional, canonical, and semantic modeling concepts.
  • Experience building production-grade BI solutions and analytical products.
  • Experience collaborating with non-technical stakeholders to define business metrics and KPIs.
  • Strong understanding of data quality validation, testing, and reconciliation processes.

Responsibilities

  • Design scalable semantic modeling approaches for enterprise analytics.
  • Build canonical analytical models on top of the core data platform.
  • Define and govern business metrics with Finance, Product, Ad Operations, Sales, and other stakeholders.
  • Translate business definitions into robust and tested technical implementations.
  • Develop reusable semantic models consumable by BI tools, analytical products, and AI agents.
  • Create and maintain dashboards and analytical solutions for internal stakeholders.
  • Reconcile critical metrics across systems, reporting platforms, and financial data.
  • Implement automated testing for metrics, transformations, and business rules.
  • Maintain documentation, metadata, and lineage for definitions and assets.
  • Design datasets optimized for analyst workflows and machine consumption.
  • Support the evolution of self-service analytics capabilities.
  • Ensure governed metric definitions are consistently used across reporting.

Skills

Analytics engineering
Data modeling
BI engineering
SQL
Stakeholder collaboration
Data quality
Semantic layer
Cloud analytics

Education

Bachelor's degree in a relevant field

Tools

dbt
Snowflake
BigQuery

Job description

Sigma Software is seeking a Senior Analytics Engineer to help build an AI-first semantic layer that standardizes and governs business metrics across dashboards, reporting systems, analytical products, and AI-driven applications.

You will collaborate with Finance, Product, Ad Operations, Sales, and other stakeholders to translate business definitions into robust technical implementations and to develop scalable semantic models for enterprise analytics.

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