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Job Description & How to Apply Below
Who we are
Citius Tech - Shaping Healthcare Possibilities.
Citius Tech is a global IT services, consulting, and business solutions enterprise 100% focused on the healthcare and life sciences industry. We enable 140+ enterprises to build a human-first ecosystem that is efficient, effective, and equitable with deep domain expertise and next-gen technology. With over 8,500 healthcare technology professionals worldwide, Citius Tech powers healthcare digital innovation, business transformation, and industry-wide convergence through next-generation technologies, solutions, and products.
Our Purpose
We are shaping healthcare possibilities to make our clients’ businesses successful, which is not just a statement but our purpose, driving us to explore what’s next in healthcare.
Our goal is clear: to make healthcare better for all – more efficient, effective, and equitable . We are investing in people, technology, innovation, and partnerships to create meaningful change. We see technology not just as a tool but as a catalyst that amplifies human ingenuity to solve complex healthcare challenges.
100% healthcare focus | Trusted by 140+ healthcare and life sciences enterprises | 40% of Fortune 500 healthcare enterprises are our clients | #1 Rated as a leader by top analyst firms
Our vision
To inspire new possibilities for the health ecosystem with technology and human ingenuity.
What is in it for you?
As a Senior Data Modeler, you will play a mission‑critical role in transforming enterprise healthcare data systems and enabling real-time decision-making across clinical, operational, and financial domains.
Responsibilities:
- We are seeking a Senior Data Modeler with deep US healthcare domain knowledge to design and maintain conceptual, logical, and physical data models for large-scale healthcare datasets. The role focuses on delivering detailed mapping specifications and applying modern Medallion Architecture principles on Azure & Snowflake as part of a healthcare enterprise data modernization initiative. The ideal candidate will collaborate closely with business SME’s, engineering and analytics teams to ensure scalable, high quality, compliant data structures supporting clinical, operational, and financial use cases.
• Design and maintain robust models for healthcare domains such as claims, remittances, eligibility, provider, member, and clinical events.
• Build normalized structures for operational workloads and dimensional/star schemas for analytics and reporting.
• Apply Medallion Architecture patterns across Bronze / Silver / Gold layers on Azure + Snowflake.
• Create detailed mapping specifications and canonical data structures by consolidating and standardizing data from clinical systems, billing platforms, and payer sources into a unified Snowflake platform that enables real‑time clinical, operational, and financial insights across the organization.
• Define healthcare data standards, naming conventions, metadata requirements, and reusable modeling patterns across domains.
• Collaborate with engineering teams to align models with ingestion and transformation pipelines built using Azure Data Factory (ADF).
• Design high performance schemas residing in Snowflake and stored in Azure Data Lake Storage (ADLS).
• Support data ingestion, ELT orchestration, and incremental loads using ADF pipelines.
• Ensure optimal storage, partitioning strategies, micro partition efficiency, and performance tuning within Snowflake.
• Conduct discovery sessions and partner with business SMEs across RCM, ACO/Value‑Based Care, Clinical Operations, and Quality to understand Source systems, Business processes KPI/metric expectations and reporting needs
• Translate business context into model designs (entities, relationships, conformed dimensions, metric definitions).
• Validate mappings and business rules with SMEs to ensure data structures reflect real workflows and decisioning needs.
• Ensure compliance with HIPAA, including PHI masking, minimum necessary exposure, and secure access patterns across Azure + Snowflake.
• Work with governance teams to maintain glossary terms, FHIR/HL7 metadata…
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