Senior BI Data Architect: Enterprise Modeling & AI Analytics

Contentstack; Portugal; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Contentstack is seeking a BI Data Architect to shape the analytical architecture, data modeling standards, and engineering practices powering enterprise reporting and AI-enabled analytics.

You will establish scalable modeling frameworks across Snowflake and dbt, lead governance, and partner with Data Engineering, BI & Analytics, Revenue Operations, and Finance to build a trusted data foundation for data-driven decision-making.

Qualifikationen

• 5-8 years of experience in data engineering, analytics engineering or data architecture.
• At least 3 years in an architect capacity with direct ownership of an analytical platform.
• Deep hands-on expertise in Snowflake architecture and dbt.

Aufgaben

• Define enterprise modeling standards across staging, intermediate, dimensional, fact, semantic, and mart layers.
• Design and implement reusable business entities, semantic models, and enterprise metrics for reporting and AI-enabled workflows.
• Set standards for dbt development, testing, Git workflows, CI/CD, deployment reliability, model performance and observability.
• Design governed access patterns for applications, AI agents, and self-service tools consuming Snowflake data (RBAC).
• Collaborate with Data Engineering, BI & Analytics, Revenue Operations and Finance to translate business requirements into scalable data models.
• Mentor analytics engineers on modular architecture and reusable modeling patterns.

Kenntnisse

Snowflake architecture

dbt

RBAC

Semantic modeling

Dimensional modeling

Jinja macros

Incremental models

Analytical platform

Data engineering

Tools

Snowflake

dbt

Git

Jobbeschreibung

Contentstack is seeking a BI Data Architect to shape the analytical architecture, data modeling standards, and engineering practices powering enterprise reporting and AI-enabled analytics.

You will establish scalable modeling frameworks across Snowflake and dbt, lead governance, and partner with Data Engineering, BI & Analytics, Revenue Operations, and Finance to build a trusted data foundation for data-driven decision-making.