Senior Health Data Modeler

• Senior Health Data Modeler – Enterprise Data Warehouse (EDW)
• Program

• Work Arrangemen
• t100% Remote (Continental U.S.); Central U.S. / Midwest Preferre
• dTrave
• lOccasional (as required for project needs
• )Reports T
• oSenior Data Architect / EDW Architecture Lea
• dPosition Summar
• yWe are seeking a highly skilled Senior Health Data Modeler to support a large-scale Enterprise Data Warehouse (EDW) and Analytics Program. The Data Modeler will work with complex healthcare datasets and translate business requirements into enterprise data models, application designs, and scalable analytics solutions
• .This role is responsible for the design, governance, and evolution of conceptual, logical, and physical data models that support enterprise reporting, analytics, regulatory compliance, and data modernization initiatives. The position plays a key role in bridging traditional enterprise data warehouse environments with modern cloud-based architectures such as Azure, Snowflake, and Lakehouse platforms
• .Working closely with data architects, ETL developers, BI teams, database administrators, and business stakeholders, the Senior Health Data Modeler will ensure data structures are scalable, compliant, well-documented, and aligned with enterprise standards and regulatory requirements
• .Roles & Responsibilitie
• sData Architecture & Strateg
• yDevelop and deliver long-term strategic goals for enterprise data architecture and modeling standards
• .Lead enterprise data architecture, modeling, and data movement initiatives supporting healthcare analytics and reporting
• .Create end-to-end data architecture visions showing how logical designs translate into physical databases and downstream analytical environments
• .Maintain enterprise data architecture documentation and promote a single source of truth across analytical platforms
• .Support alignment of data architecture with business, regulatory, and modernization objectives
• .Data Modeling & Desig
• nAnalyze business requirements and convert them into scalable conceptual, logical, and physical data models
• .Design and maintain data models across staging, integration, warehouse, and presentation layers
• .Develop and support
• :Dimensional Models (Star Schema, Snowflake Schema
• )Normalized Models (3NF/OLTP
• )OLAP Model
• sData Vault Architecture
• sImplement
• :Slowly Changing Dimensions (SCD
• )Role-Playing Dimension
• sDimensional Hierarchie
• sSurrogate Key
• sData Classification Standard
• sDefine primary keys, foreign keys, indexes, partitioning strategies, constraints, and referential integrity rules
• .Create and maintain Entity Relationship Diagrams (ERDs), data flow diagrams, and modeling documentation using Erwin or equivalent tools
• .Governance, Quality & Complianc
• eEnsure data architecture and modeling standards comply with industry regulations and organizational policies
• .Support data quality initiatives through source-to-target mapping, data movement analysis, lineage tracking, and validation processes
• .Define and maintain metadata standards, data dictionaries, business glossaries, and lineage documentation
• .Support classification and protection of sensitive data, including
• :Personally Identifiable Information (PII
• )Protected Health Information (PHI
• )Participate in governance activities related to data quality, stewardship, security, retention, and compliance
• .Collaboration & Deliver
• yProvide technical guidance to architects, ETL teams, business analysts, and implementation teams throughout solution delivery lifecycles
• .Support development of highly scalable and high-performance data solutions, including data warehouses, data marts, and advanced analytics environments
• .Resolve data integration, compatibility, and cross-platform data challenges
• .Define testing criteria and validation approaches to ensure the quality and performance of data architecture solutions
• .Communicate effectively with stakeholders and proactively escalate risks, issues, and dependencies
• .Modernization & Migration Suppor
• tSupport migration of legacy data warehouse environments to modern cloud-based platforms
• .Design target-state data models utilizing
• :Azure Synaps
• eDatabricks Lakehous
• eSnowflak
• eDelta Lak
• eMedallion Architecture (Bronze / Silver / Gold
• )Parquet-based storage pattern
• sAssess existing models for optimization, consolidation, modernization, and performance improvements
• .Partner with data architecture teams to define future-state data platforms and roadmaps

• .
• Qualificatio
• nsEducati
• onBachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related fiel
• d.10+ years of overall IT experienc
• e.Required Skil
• lsStrong problem-solving, communication, presentation, and stakeholder management skill
• s.7+ years of experience in enterprise data modeling, data strategy, and data architecture for large and complex healthcare data environment
• s.Experience designing and implementing large-scale Data Management and Analytics solution
• s.5+ years of experience working with healthcare data security and regulatory standards, including HIPAA, PHI, and PII requirement
• s.5+ years of experience with Erwin Data Modeler or comparable modeling tools (ER/Studio, SQL Developer Data Modeler
• ).5+ years of healthcare domain expertise involvin
• g:Medica
• idMedica
• reCommercial Healthcare Da
• taExpertise i
• n:Dimensional Modeli
• ngNormalized Data Modeli
• ngOLAP Desi
• gnMaster Data Management (MD
• M)Star Schem
• asSlowly Changing Dimensio
• nsRole-Playing Dimensio
• nsData Classificati
• on5+ years of advanced SQL experience, includin
• g:Complex Analytical Queri
• esStored Procedur
• esDDL, DML, and D
• CLQuery Optimizati
• onANSI SQL Standar
• ds5+ years of experience i
• n:Data Quali
• tyData Profili
• ngData Governan
• ceMetadata Manageme
• ntData Securi
• tyData Archiv
• alData Migration Strategi
• esProven ability to manage multiple priorities in fast-paced environment
• s.Strong planning, estimation, scheduling, and independent work capabilitie
• s.Preferred Skil
• lsExperience with Microsoft Azure services, includin
• g:Azure Data Lake Stora
• geAzure Data Facto
• ryMicrosoft Purvi
• ewAzure Synap
• seExperience with Snowflake database design and performance tunin
• g.Experience with Power BI and Tablea
• u.Experience supportin
• g:Enterprise Data Warehouse (EDW) Progra
• msHealthcare Analytics Platfor
• msRegulatory Reporting Environmen
• tsExposure to Teradata modernization initiatives and cloud migration
• s.Familiarity wit
• h:Delta La
• keLakehouse Architectur
• esMicrosoft Fabr
• icExperience leveraging AI and GenAI tools for data modeling, documentation, and metadata managemen
• t.Hands-on experience with ETL tools such as Informatica and Azure Data Factor
• y.Experience with reporting and business intelligence platform
• s.Experience using analytical scripting languages such as Python or

• R.
• Location & Work Mo
• delWork Arrangem
• ent100% Remote (Continental U.
• S.)Preferred Locat
• ionCentral U.S. / Midwest Reg
• ionTra
• velOccasional travel may be required based on project nee
• ds.Collaboration To
• olsMicrosoft Teams, Outlook, Azure DevOps, SharePoint, Webex, and other enterprise collaboration platfor
• ms.Technical Skills Summ
• aryData Modeling & Architect
• ureEnterprise Data Model
• ingDimensional Model
• ingData Va
• ultOLTP / O
• LAP
• MDME
• RDsData Governa
• nceDatabases & Warehous
• ingSnowfl
• akeTerad
• ataAzure Syna
• pseSQL Ser
• verAdvanced
• SQLCloud & Modern Data Platfo
• rmsAzure Data L
• akeAzure Data Fact
• oryDatabri
• cksDelta L
• akeMicrosoft Fab
• ricLakehouse Architect
• ureGovernance & Complia
• nceHI
• PAAPHI / PII Protect
• ionMetadata Managem
• entData Line
• ageData Qual
• ityAnalytics & Report
• ingPower
• BITabl
• eauEnterprise Report
• ingDevelopment & Automat
• ionPyt
• h
• onRETL To
• olsAzure Dev

Ops