Design data product schemas - the longitudinal patient mart, population analytics aggregations, risk adjustment marts, HEDIS measure pre-aggregations. Each data product has a defined grain, columns, and refresh semantics
Author and maintain unit specs at the model level under the spec-driven development framework. Each table has a versioned spec; model changes go through the spec review process before implementation
Collaborate with data engineers to translate model specs into dbt implementations. Review dbt model code for adherence to the spec, including column naming, hash key construction, SCD2 macro usage, and test coverage
Participate in source-system data profiling - analyze sample data from each source to identify quality issues, edge cases, and modeling implications before specs are finalized. Profile findings drive STTM design
Define and enforce reference data (REF) management practices - terminology crosswalks (LOINC, SNOMED, ICD-10, RxNorm, CPT), source-code-to-standard-code mappings, and the SCD2 patterns that govern reference data evolution
Document data dictionaries, lineage, and the canonical model glossary. Engage with Atlan or equivalent governance tooling to publish model documentation for downstream consumers
Work with clinical informaticists and source-system experts to validate that the model and STTMs accurately represent clinical reality. STTMs are the contract between engineering and clinical informatics; you own that contract
Required Skills and Qualifications
Bachelor's or Master's degree in Computer Science, Information Systems, or a related quantitative field
5+ years of data modeling experience for large-scale data warehouses, data lakes, or data platforms
Demonstrated ability to design conceptual, logical, and physical data models - dimensional modeling (Kimball), data vault, or hybrid patterns. This project uses a Kimball-influenced canonical model with SCD2 dimensions and per-source row preservation
Strong SQL proficiency. Experience reading and reviewing dbt SQL models is required; ability to author dbt models is a plus
Experience modeling for analytical and operational data layers simultaneously - understanding how a normalized canonical model serves both downstream analytics and FHIR API consumers
Hands-on experience with healthcare data standards - HL7v2 segment-level structure, CCDA document structure, and FHIR R4 resource models. Familiarity with US Core profiles and FHIR Bundle composition
Experience producing source-to-target mappings (STTMs) at field-leve
Benefits
Health insurance
Additional Information
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Architect Data Modeler
Exp Range : 8 - 13 Years
Job Location : Mumbai , Bangalore, Trivandrum
Role Overview
The Data Modeler is responsible for the structural design of the platform's canonical and derived data assets. You will own the Common Data Model (CDM) at the schema level - the dimension, fact, bridge, and reference tables that hold normalized clinical, claims, and demographic data - and the source-to-target mappings (STTMs) that define how source-system data lands in CDM and how CDM data is reshaped into FHIR resources.
This role is hands-on. You will produce schema designs in collaboration with the architect, write STTM specifications that engineers implement against, and work with clinical informatics and source-system experts to ensure the model accurately reflects the data's clinical and operational meaning. Your output is the contract between source data and CDM, and between CDM and downstream consumers.
Quantiphi · Mh Mumbai Eureka, India