Job Description

Do you love a career where you Experience , Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you. Learn how we are redefining the meaning of work , and be a part of the team raved by Clients, Job-seekers and Employees. Jobseeker Video Testimonials Employee Glassdoor Reviews If you are a Data Scientist looking for excitement, challenge and stability in your work, then you would be glad to come across this page. We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long-term project. Here are a few details. Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution. Role: Data Scientist ​ Location: Hyderabad Experience:12+ Years Work Mode: Hybrid Type: Contract to Hire Notice Period:Immediate Joiners Requirements Job Description – Data Architect 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. Experience bands: • Manager: 12+ years total experience in data architecture, data modeling, or related engineering roles, including experience owning a canonical/common data model used across multiple clients or source systems 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 new 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.