Posted on: 28/09/2026
Role Summary :
We are seeking a Data Architect to own canonical data modeling and abstraction discipline across our platforms, most notably our payroll-system-agnostic platform built on a Common Data Model (CDM). This role is distinct from a Data Integration Architect: you own the correctness of the model itself - how source-system concepts get abstracted into stable canonical entities.
Key Responsibilities :
- Own canonical data modeling: define stable, source-agnostic entities and relationships that represent the business domain.
- Design config-driven architecture: ensure new source systems, clients, or field variations are onboarded through configuration.
- Enforce correctness and reconciliation discipline: define and validate that canonical data reconciles against source system totals.
- Own production engineering and abstraction discipline: review and approve how abstraction layers are implemented in code.
- Partner with Solution and Data Integration Architects to ensure platform coherence.
Required Qualifications :
- 8+ years of total experience in data architecture or data modeling roles.
- Strong hands-on experience with dimensional and canonical data modeling.
- Demonstrated experience designing config-driven architecture for onboarding new data sources.
- Proficiency in SQL and Python; experience with PostgreSQL.
- Hands-on proficiency with AI coding assistants (Claude, Copilot, Cursor, etc.).
Tech Stack :
- SQL, Python, PostgreSQL, Azure, Orchestration tools (Prefect/Airflow/Dagster).
The job is for:
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Posted by
Recruiter
HR at Orcapod Consulting Services
Last Active: NA as recruiter has posted this job through third party tool.
Posted in
Data Engineering
Functional Area
Technical / Solution Architect
Job Code
1675223