The Role
Own the canonical data model for a payroll-agnostic platform, defining stable entities, relationships, configuration-driven mappings, governance, versioning, lineage, and reconciliation controls. Lead modeling reviews, validate architecture against real client data, oversee production implementation, document architecture decisions, and partner with solution and integration architects to ensure the model scales across payroll vendors and clients without repeated redesign.
Summary Generated by Built In
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 Architect
Location: Hyderabad,Pune,Gurgaon,Chennai,Bangalore,Kolkata,Mumbai.
Experience:12+ Years
Experience:12+ Years
Work Mode: Hybrid
Type: Contract to Hire
Notice Period:Immediate Joiners
Requirements
Job Description – Data Architect
Key Skills: SQL, Data Modeling, data warehouse knowledge & Cloude platform, azure, GCP AWS, CICD, Phyton
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: 8-12 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.
Skills Required
- 12+ years of experience in data architecture, data modeling, or related engineering roles
- Experience owning a canonical or common data model used across multiple clients or source systems
- Ability to design configuration-driven architecture and mapping rules
- Experience with data governance, schema versioning, lineage, and documentation standards
- Experience validating data models against real production or client data and reconciling source-system totals
- Immediate availability to join
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Alignity is a Talent Solutions company focused on revolutionizing talent acquisition, employer branding, and performance inspiration to help organizations achieve accelerated growth.
.jpeg)
_0.png)
