{"schemaVersion":"jobsearcher.job.v1","id":"0280b36dfd2dff0bb5e40ff1","url":"https://jobsearcher.com/jobs/0280b36dfd2dff0bb5e40ff1","canonicalUrl":"https://jobsearcher.com/jobs/0280b36dfd2dff0bb5e40ff1","title":"Data Modeler","description":"Description:\n\nAt CSpring, we believe in the power of data to drive decisions and real-world impact. We’re a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results.\n\nWe're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here.\n\nWhy You’ll Love Working Here\n\nPurposeful Projects – Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.\nPeople-First Culture – We’re as committed to your growth as we are to delivering high-impact solutions. You’ll find support, autonomy, and community here.\nStrategic, Hands-On Work – From data architecture and documentation to client workshops and solution delivery, you’ll influence every step of the process.\nCollaborative Trust – Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.\n\nWhat You’ll Do\n\nWorking closely with data architects, ETL/data engineers, BI developers, DBAs, and business subject matter experts, the Senior Health Data Modeler ensures data structures are scalable, standards-compliant, well-documented, and aligned to enterprise and regulatory requirements across the Health and Human Services ecosystem.\n\nData Architecture & Strategy\n\nDevelop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, clients, and other key stakeholders.\nLead data architecture, data modeling, and data movement initiatives to enhance the data warehouse supporting analytics for Medicaid, Medicare, and Commercial healthcare data — including domains such as claims, provider, TPL, and member information subject areas.\nCreate an end-to-end vision for how logical design translates into one or more physical databases and how data flows through successive stages.\nDocument data architecture and the enterprise environment to maintain a current, accurate view that supports a single version of the truth and scales to future analytical needs.\n\nData Modeling & Design\n\nAnalyze and translate business needs into long-term solution data models; evaluate existing data systems and work with the development team to create conceptual data models and data flows.\nDesign and maintain conceptual, logical, and physical data models across staging, integration, and semantic/presentation layers.\nDevelop dimensional models (Kimball star/snowflake), normalized (OLTP/3NF), OLAP, and Data Vault patterns; implement Slowly Changing Dimensions, role-playing dimensions, dimensional hierarchies, surrogate keys, and data classification.\nDefine primary/foreign keys, indexes, partitioning, constraints, and referential integrity rules to ensure data quality and performance.\nProduce and maintain entity-relationship diagrams (ERDs), data flow diagrams, and model documentation using Erwin or equivalent tools.\n\nGovernance, Quality & Compliance\n\nEnsure data strategies and architectures are in regulatory compliance; identify where existing policies and procedures require change or where new ones are needed.\nOversee the mapping of data sources, data movement, interfaces, and analytics with the goal of ensuring data quality.\nCreate and maintain data model and metadata policies and procedures for functional design; maintain data dictionaries, business glossaries, and lineage documentation.\nSupport classification and protection of sensitive data (PII, PHI) in alignment with HIPAA, PHI, and SOX requirements.\n\nCollaboration & Delivery\n\nProvide technical recommendations and engage with ETL Architects, Business SMEs, and other stakeholders throughout the Solution/Data Architecture and implementation lifecycle to develop high-performance, highly scalable data solutions (data marts/warehouse, data mining, and advanced analytics).\nAddress data-related problems regarding systems integration, compatibility, and multiple-platform integration.\nDevelop and implement key components and testing criteria to guarantee the fidelity and performance of data architecture.\nCommunicate with the customer and project team in a timely manner and escalate issues and risks appropriately.\n\nModernization & Migration Support\n\nContribute to migration of legacy Teradata models to modern cloud platforms (Azure Synapse / Databricks Lakehouse, Snowflake).\nDesign target-state models leveraging medallion (Bronze/Silver/Gold) architecture, Delta Lake, and Parquet patterns.\nAssess existing models for modernization opportunities, redundancy, and optimization; recommend improvements to architects.\nRequirements:\nStrong problem-solving, influencing, communication, and presentation skills; self-starter.\n7+ years of Experience in data modeling, data strategy, and roadmap for large and complex health entities and systems; implemented large-scale, end-to-end Data Management & Analytics solutions for more than one large client.\n5+ years of Strong knowledge of regulatory security requirements regarding HIPAA, PHI, PII, and other healthcare data security standards.\n5+ years of Experience with Erwin Data Model (or comparable tools such as ER/Studio, SQL Developer Data Modeler).\n5+ years of strong healthcare domain knowledge of Medicaid, Medicare, and Commercial healthcare data sets.\nExpertise with normalized OLTP, OLAP, MDM, and dimensional modeling techniques — star schemas, slowly changing dimensions, role-playing dimensions, dimensional hierarchies, and data classification.\n5+ years of Expert-level SQL skills with direct experience writing complex analytic queries, stored procedures, DDL, DML, and DCL; thorough knowledge of query optimization and the ability to write to ANSI standards and review others’ code.\n5+ years of experience in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, MDM, Data Archival, and Data Migration strategies using appropriate tools.\nDemonstrated ability to work in a fast-paced, changing environment with short deadlines, interruptions, and multiple concurrent tasks/projects.\nAbility to work independently with strong planning, strategy, estimation, and scheduling skills.\n\nPreferred Qualifications\n\nExperience with Microsoft Azure cloud infrastructure and services (Azure Data Lake Storage, Azure Data Factory, Purview, Azure Maps, etc.).\nExperience with Snowflake DBMS, including object design and performance tuning.\nExperience with Power BI or Tableau.\nExperience supporting State Medicaid EDW, MMIS, or federal reporting programs (T-MSIS, PERM, MARS, Quality of Care).\nExposure to Teradata Vantage 20 and modernization of Teradata workloads onto cloud platforms.\nFamiliarity with Delta Lake / lakehouse architecture and Microsoft Fabric.\nExposure to AI/ML and GenAI tools (e.g., GitHub Copilot, Microsoft 365 Copilot, Snowflake Cortex) for accelerating modeling, documentation, and metadata enrichment.\nHands-on experience with ETL tools (e.g., Informatica, Azure Data Factory).\nHands-on experience with BI tools and reporting software.\nExperience with a scripting language used for analytics such as Python or R.\n\nCome Build With Us\n\nAt CSpring, we unlock the potential of people and data. If you're ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment—apply today!","company":"Cspring","rawCompany":"cspring","city":"Kincaid","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-09-02T11:12:23.385Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Modeler","description":"Description:\n\nAt CSpring, we believe in the power of data to drive decisions and real-world impact. We’re a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results.\n\nWe're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here.\n\nWhy You’ll Love Working Here\n\nPurposeful Projects – Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.\nPeople-First Culture – We’re as committed to your growth as we are to delivering high-impact solutions. You’ll find support, autonomy, and community here.\nStrategic, Hands-On Work – From data architecture and documentation to client workshops and solution delivery, you’ll influence every step of the process.\nCollaborative Trust – Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.\n\nWhat You’ll Do\n\nWorking closely with data architects, ETL/data engineers, BI developers, DBAs, and business subject matter experts, the Senior Health Data Modeler ensures data structures are scalable, standards-compliant, well-documented, and aligned to enterprise and regulatory requirements across the Health and Human Services ecosystem.\n\nData Architecture & Strategy\n\nDevelop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, clients, and other key stakeholders.\nLead data architecture, data modeling, and data movement initiatives to enhance the data warehouse supporting analytics for Medicaid, Medicare, and Commercial healthcare data — including domains such as claims, provider, TPL, and member information subject areas.\nCreate an end-to-end vision for how logical design translates into one or more physical databases and how data flows through successive stages.\nDocument data architecture and the enterprise environment to maintain a current, accurate view that supports a single version of the truth and scales to future analytical needs.\n\nData Modeling & Design\n\nAnalyze and translate business needs into long-term solution data models; evaluate existing data systems and work with the development team to create conceptual data models and data flows.\nDesign and maintain conceptual, logical, and physical data models across staging, integration, and semantic/presentation layers.\nDevelop dimensional models (Kimball star/snowflake), normalized (OLTP/3NF), OLAP, and Data Vault patterns; implement Slowly Changing Dimensions, role-playing dimensions, dimensional hierarchies, surrogate keys, and data classification.\nDefine primary/foreign keys, indexes, partitioning, constraints, and referential integrity rules to ensure data quality and performance.\nProduce and maintain entity-relationship diagrams (ERDs), data flow diagrams, and model documentation using Erwin or equivalent tools.\n\nGovernance, Quality & Compliance\n\nEnsure data strategies and architectures are in regulatory compliance; identify where existing policies and procedures require change or where new ones are needed.\nOversee the mapping of data sources, data movement, interfaces, and analytics with the goal of ensuring data quality.\nCreate and maintain data model and metadata policies and procedures for functional design; maintain data dictionaries, business glossaries, and lineage documentation.\nSupport classification and protection of sensitive data (PII, PHI) in alignment with HIPAA, PHI, and SOX requirements.\n\nCollaboration & Delivery\n\nProvide technical recommendations and engage with ETL Architects, Business SMEs, and other stakeholders throughout the Solution/Data Architecture and implementation lifecycle to develop high-performance, highly scalable data solutions (data marts/warehouse, data mining, and advanced analytics).\nAddress data-related problems regarding systems integration, compatibility, and multiple-platform integration.\nDevelop and implement key components and testing criteria to guarantee the fidelity and performance of data architecture.\nCommunicate with the customer and project team in a timely manner and escalate issues and risks appropriately.\n\nModernization & Migration Support\n\nContribute to migration of legacy Teradata models to modern cloud platforms (Azure Synapse / Databricks Lakehouse, Snowflake).\nDesign target-state models leveraging medallion (Bronze/Silver/Gold) architecture, Delta Lake, and Parquet patterns.\nAssess existing models for modernization opportunities, redundancy, and optimization; recommend improvements to architects.\nRequirements:\nStrong problem-solving, influencing, communication, and presentation skills; self-starter.\n7+ years of Experience in data modeling, data strategy, and roadmap for large and complex health entities and systems; implemented large-scale, end-to-end Data Management & Analytics solutions for more than one large client.\n5+ years of Strong knowledge of regulatory security requirements regarding HIPAA, PHI, PII, and other healthcare data security standards.\n5+ years of Experience with Erwin Data Model (or comparable tools such as ER/Studio, SQL Developer Data Modeler).\n5+ years of strong healthcare domain knowledge of Medicaid, Medicare, and Commercial healthcare data sets.\nExpertise with normalized OLTP, OLAP, MDM, and dimensional modeling techniques — star schemas, slowly changing dimensions, role-playing dimensions, dimensional hierarchies, and data classification.\n5+ years of Expert-level SQL skills with direct experience writing complex analytic queries, stored procedures, DDL, DML, and DCL; thorough knowledge of query optimization and the ability to write to ANSI standards and review others’ code.\n5+ years of experience in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, MDM, Data Archival, and Data Migration strategies using appropriate tools.\nDemonstrated ability to work in a fast-paced, changing environment with short deadlines, interruptions, and multiple concurrent tasks/projects.\nAbility to work independently with strong planning, strategy, estimation, and scheduling skills.\n\nPreferred Qualifications\n\nExperience with Microsoft Azure cloud infrastructure and services (Azure Data Lake Storage, Azure Data Factory, Purview, Azure Maps, etc.).\nExperience with Snowflake DBMS, including object design and performance tuning.\nExperience with Power BI or Tableau.\nExperience supporting State Medicaid EDW, MMIS, or federal reporting programs (T-MSIS, PERM, MARS, Quality of Care).\nExposure to Teradata Vantage 20 and modernization of Teradata workloads onto cloud platforms.\nFamiliarity with Delta Lake / lakehouse architecture and Microsoft Fabric.\nExposure to AI/ML and GenAI tools (e.g., GitHub Copilot, Microsoft 365 Copilot, Snowflake Cortex) for accelerating modeling, documentation, and metadata enrichment.\nHands-on experience with ETL tools (e.g., Informatica, Azure Data Factory).\nHands-on experience with BI tools and reporting software.\nExperience with a scripting language used for analytics such as Python or R.\n\nCome Build With Us\n\nAt CSpring, we unlock the potential of people and data. If you're ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment—apply today!","datePosted":"2026-09-02T11:12:23.385Z","dateModified":"2026-09-02T11:12:23.385Z","hiringOrganization":{"@type":"Organization","name":"Cspring","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kincaid","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0280b36dfd2dff0bb5e40ff1"},"url":"https://jobsearcher.com/jobs/0280b36dfd2dff0bb5e40ff1"}}