Data Modeler

Tech Mahindra Limited; Hyderabad, Pune District, Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Tech Mahindra is seeking a Data Modeler to design, build, and maintain data models for a large government healthcare platform. The role spans conceptual to analytics layers, ensuring well-defined, named, and compliant data structures across claims, enrollment, provider, pharmacy, and financial domains.

The candidate will collaborate with data architects, engineers, and subject matter experts to translate business concepts into precise models, maintain documentation, and ensure canonical

Qualifications

• 5+ years of data modeling experience in complex enterprise or multi-domain environments.

Responsibilities

• Design logical and physical data models for new and evolving product domains.
• Translate business requirements into entity-relationship models and dimensional structures.
• Maintain models across conceptual, logical, physical, and analytics layers.
• Produce and maintain model documentation with entity definitions and data types.
• Model high-volume transactional data structures for claims and enrollment domains.
• Design reference data models to support versioning and audit.
• Model financial structures: payments, reconciliations, and settlements.
• Work within canonical model framework to ensure alignment with entity definitions.
• Identify and resolve entity duplication and definitional drift across domains.
• Participate in canonical model reviews and propose refinements.
• Apply enterprise naming conventions, normalization standards, and data classification.
• Tag PHI and PII fields for HIPAA compliance in every model.
• Validate model changes before promotion to production schemas.
• Design event payload schemas and register in schema registry.
• Collaborate with integration teams to define data contracts at domain boundaries.
• Maintain data dictionary and model catalog; support lineage documentation.
• Present model decisions with clear rationale in reviews.

Skills

Data modeling

ER modeling

Dimensional modeling

SQL

PostgreSQL

SQL Server

Oracle

ERwin

dbt

draw.io

Tools

ERwin

draw.io

dbt

Job description

We are looking for a skilled Data Modeler to design, build, and maintain the data models that power a large government healthcare technology platform. This is a hands-on delivery role you will translate domain concepts and business requirements into precise logical and physical data models across a portfolio of products that process claims, enrollments, provider information, pharmacy transactions, and financial settlements at scale

.You will collaborate closely with data architects, engineers, and domain SMEs to ensure every data structure is well-defined, consistently named, properly classified, and ready for implementation

What You Will Do

Data Model Design and Delivery

• Design logical and physical data models for new and evolving product domains — from initial concept through implementation-ready schema


• Translate business requirements and domain concepts into entity-relationship models, normalized schemas, and dimensional structures


• Maintain models across all layers: conceptual, logical, physical, and analytics consumption


• Produce and keep current model documentation: entity definitions, attribute descriptions, data types, constraints, and relationships

Healthcare Transaction Data Modeling

• Model high-volume transactional data structures for claims processing, eligibility, enrollment, provider data, pharmacy transactions, and financial settlements


• Design reference data models: code sets, fee schedules, edit tables, and lookup structures that support point-in-time versioning and audit


• Model financial structures: accumulator records, payment details, adjustment cycles, and reconciliation outputs

Canonical and Cross-Domain Alignment

• Work within the enterprise canonical model framework to ensure implementation-level schemas align with the authoritative entity definitions for members, providers, claims, benefits, and financials


• Identify and resolve entity duplication and definitional drift across product domains


• Participate in canonical model reviews and contribute proposed additions or refinements

Data Quality and Standards Compliance

• Apply enterprise naming conventions, normalization standards, and data classification rules consistently across all models


• Tag PHI and PII fields accurately in every model in compliance with HIPAA requirements


• Validate model changes against data quality rules before promotion to production schemas

Event and Integration Schema Design

• Design event payload schemas for domain events published across distributed services


• Ensure event schemas are registered and versioned in the schema registry following enterprise versioning standards


• Collaborate with integration teams to define data contracts at domain boundaries

Documentation and Governance

• Maintain a current data dictionary and model catalog covering all active domains


• Participate in architecture and design reviews — present model decisions with clear rationale


• Support data lineage documentation linking source systems, transformation logic, and consumption layers

What You Bring

Core Skills

• 5+ years of data modeling experience in complex enterprise or multi-domain environments


• Strong proficiency in logical and physical data modeling — ER modeling, normalization, dimensional modeling


• Experience modeling for multiple implementation patterns: OLTP relational, dimensional warehouse, and lakehouse or medallion architectures


• Hands-on with relational databases — PostgreSQL, SQL Server, or Oracle


• Proficiency in SQL — writing, reviewing, and optimizing queries and DDL scripts


• Experience with data modeling tools: ERwin, draw.io, dbt, or equivalent


• Familiarity with event-driven data design and schema registries (Confluent, AWS Glue, or similar)

Collaboration and Communication

• Ability to work directly with domain SMEs and engineers to gather requirements and validate models


• Clear communicator — comfortable explaining model decisions and trade-offs in design reviews


• Detail-oriented — consistent in naming, documentation, and standards application

Preferred

• Experience in government healthcare programs such as Medicaid, CHIP, or Medicare


• Familiarity with healthcare transaction data: claims (professional, institutional, pharmacy), eligibility, provider, or enrollment


• Knowledge of healthcare data standards: X12 EDI, NCPDP, FHIR R4, or HL7


• Background in MMIS, claims processing systems, or health plan administration is a strong advantage but not required


• Experience with Python for data profiling, validation scripts, or pipeline support