Data Integration & AI Platform Lead

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

Job summary

SCALIS is building a unified data platform and seeks a data enthusiast to lead data modeling, ingests, and integration across accounts, contacts, candidates, deals, and work records. You will architect a canonical data model and a scalable data layer that enables AI agents to read data cleanly, with governance and future ERP readiness.

You will partner with full-stack engineers to define a robust ingestion validation, secure data access, and dashboards foundation via Power BI, aligning data

Qualifications

• 4+ years of hands-on data and analytics experience.

Responsibilities

• Define entity structures, relationships, and identity resolution across accounts, contacts, candidates, deals, projects, and work records.
• Establish upfront validation rules at ingest to prevent low-quality records from entering systems.
• Coordinate integration layer with full-stack engineers to maintain adaptable integration layer.
• Build and govern the modeled semantic layer beneath Power BI transition for future ERP.
• Architect clean read paths so internal AI agents consume structured data directly.
• Own recurring systemic data defects and data quality improvements.
• Lead data migration paths off retired legacy systems with audit trails.
• Apply Lean principles and AI tools to reduce data failure points and KPIs/SLAs.
• Monitor unstructured data inputs like speech, text, and sentiment analyses.

Skills

Data modeling

SQL proficiency

Python

Data quality

AI tooling

Data security

Tools

PostgreSQL

dbt

Tableau

Power BI

API integrations

Job description

SCALIS is building a unified data platform and seeks a data enthusiast to lead data modeling, ingests, and integration across accounts, contacts, candidates, deals, and work records. You will architect a canonical data model and a scalable data layer that enables AI agents to read data cleanly, with governance and future ERP readiness.

You will partner with full-stack engineers to define a robust ingestion validation, secure data access, and dashboards foundation via Power BI, aligning data