Role: Data Scientist
Location: PAN India
Duration: Fulltime

Job Description:
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) that normalizes multiple vendor payroll systems into one canonical structure. This role is distinct from a Data Integration Architect: rather than owning pipeline mechanics (ETL/ELT, lakehouse, vector stores), you own the correctness of the model itself - how source-system concepts get abstracted into stable canonical entities, how configuration (not hardcoding) drives extensibility as new sources and clients are onboarded, and how the platform's engineering stays reconciled against ground-truth data rather than assumptions. You will work closely with data engineering, application engineering, and delivery leadership to ensure the data model can scale to new payroll vendors and clients without being redesigned each time.

Key Responsibilities
• Own canonical data modeling: define stable,



source-agnostic entities and relationships that represent the business domain (e.g., payroll constructs such as Gross Pay, Net Pay, Regular Pay, Bonus, Termination) independent of any single vendor's data shape.
• Design config-driven architecture: ensure recent source systems, clients, or field variations are onboarded through configuration and mapping rules rather than one-off code changes or schema forks.
• Enforce correctness and reconciliation discipline: define and validate that canonical data reconciles against source system totals and known ground truth, and build in checks that surface drift or silent data-quality regressions early.
• Own production engineering and abstraction discipline: review and approve how abstraction layers are actually implemented in code, ensuring the conceptual model and the production implementation do not diverge over time.
• Partner with the Solution Architect and D

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