Finance Data Modeler & AI-Ready Architect

Kaizen Technologies; Toronto; On-site; CAD 90,000 - 140,000; Full time

Job summary

Kaizen Technologies seeks a Data Modeler to design and govern semantic and financial data models for an enterprise analytics platform. You will lead data architecture across Workday Financials, planning engines, AWS QuickSight, and downstream AI/LLM tools.

You will own end-to-end modeling for foundational setups, financial rollups, and variance reporting while establishing governance and reconciliation frameworks. Strong SQL/dbt skills and CI/CD discipline are required.

Qualifications

• 7+ years in data modeling and data warehousing with domain expertise in Corporate Finance, Accounting, or FP&A.
• Deep experience with SQL, dbt, dimensional modeling and modeling Workday Financials GL APIs and planning engines.
• Proven ability to model for AWS QuickSight and structure metadata for enterprise AI/LLM ingestion.
• Experience in audited environments with strict release management, access logging and reconciliation.

Responsibilities

• Design and govern semantic layer and core financial data models.
• Lead data architecture across Workday Financials, planning engines, AWS QuickSight, and AI/LLM tools.
• Build end-to-end modeling for foundational setups, financial rollups, and variance reporting.
• Enforce governance, reconciliation frameworks, and data dictionary standards.

Skills

Advanced SQL

dbt

Dimensional modeling

Workday Financials GL APIs

Planning engines

AWS QuickSight

AI/LLM data ingestion

Release management

Access logging

Trial-balance reconciliation

Tools

Python

Robot Framework

CI/CD tooling

Job description

Kaizen Technologies seeks a Data Modeler to design and govern semantic and financial data models for an enterprise analytics platform. You will lead data architecture across Workday Financials, planning engines, AWS QuickSight, and downstream AI/LLM tools.

You will own end-to-end modeling for foundational setups, financial rollups, and variance reporting while establishing governance and reconciliation frameworks. Strong SQL/dbt skills and CI/CD discipline are required.