Data Integration Architect for AI-Driven Analytics

Bold Business; Región Centro; On-site; MXN 600,000 - 900,000; Full time

Job summary

Bold Business seeks a data enthusiast to lead the unified data model, validation, and integration strategy across multiple systems. You will architect the foundational data layer enabling AI agents to read across entities, and oversee the transition of reporting to Power BI with ERP consolidation in mind.

You will collaborate with engineers to maintain an adaptable integration layer, ensure secure data access for AI read paths, and own data quality and migration strategies while driving

Qualifications

• 4+ years of hands-on experience in data and analytics with heavy data-modeling responsibilities.

Responsibilities

• Define the canonical data model across accounts, contacts, candidates, deals, projects, and work records.
• Establish ingest validation rules to prevent low-quality records.
• Coordinate an adaptable integration layer with full-stack engineers.
• Build and govern the semantic layer for Power BI transition and ERP dashboards.
• Design clean, permissioned data access paths for AI agents.
• Own data quality and act as the point of contact for systemic defects.
• Lead data migrations off legacy systems while preserving history and audit trails.
• Apply Lean principles and AI tools to reduce data failures and define KPIs/SLAs.
• Monitor and process unstructured data insights including speech, text, and sentiment inputs.

Skills

Data modeling

SQL

Python

Data integration

Data security

AI tooling

Data quality

Metrics & KPIs

Tools

PostgreSQL

dbt

Power BI

Tableau

Job description

Bold Business seeks a data enthusiast to lead the unified data model, validation, and integration strategy across multiple systems. You will architect the foundational data layer enabling AI agents to read across entities, and oversee the transition of reporting to Power BI with ERP consolidation in mind.

You will collaborate with engineers to maintain an adaptable integration layer, ensure secure data access for AI read paths, and own data quality and migration strategies while driving