- 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 Data Integration Architect: this role owns the correctness and stability of the canonical model itself,



while those roles own end-to-end platform coherence and pipeline/ingestion mechanics respectively.
- Lead data modeling reviews and design walkthroughs for new entities, new client onboarding, or new source-system integrations, pressure-testing proposed models against edge cases and real production data.
- Define data governance practices for the canonical layer: versioning of the model, change management for schema evolution, lineage, and documentation standards.
- Validate architecture and modeling decisions directly against real client data (not sampled or synthetic data) before sign-off, and flag contradictions between assumed and actual data behavior.
- Create architecture artifacts (canonical model documentation, ADRs, entity-relationship diagrams, mapping specifications) and maintain them as the model evolves.
- Mentor data engineers on modeling discipline and abstraction practices; review code and configuration for a

📌 Data Scientist (Hyderabad)
🏢 Techaivv Technologies
📍 Hyderabad