Data Modeler

Required SkillsStrong problem-solving, influencing, communication, and presentation skills; self-starter.7+ 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.5+ years of Strong knowledge of regulatory security requirements regarding HIPAA, PHI, PII, and other healthcare data security standards.5+ years of Experience with Erwin Data Model (or comparable tools such as ER/Studio, SQL Developer Data Modeler).5+ years of strong healthcare domain knowledge of Medicaid, Medicare, and Commercial healthcare data sets.Expertise with normalized OLTP, OLAP, MDM, and dimensional modeling techniques — star schemas, slowly changing dimensions, role-playing dimensions, dimensional hierarchies, and data classification.5+ 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.5+ years of experience in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, MDM, Data Archival, and Data Migration strategies using appropriate tools.Demonstrated ability to work in a fast-paced, changing environment with short deadlines, interruptions, and multiple concurrent tasks/projects.Ability to work independently with strong planning, strategy, estimation, and scheduling skills.Preferred SkillsExperience with Microsoft Azure cloud infrastructure and services (Azure Data Lake Storage, Azure Data Factory, Purview, Azure Maps, etc.).Experience with Snowflake DBMS, including object design and performance tuning.Experience with Power BI or Tableau.Experience supporting State Medicaid EDW, MMIS, or federal reporting programs (T-MSIS, PERM, MARS, Quality of Care).Exposure to Teradata Vantage 20 and modernization of Teradata workloads onto cloud platforms.Familiarity with Delta Lake / lakehouse architecture and Microsoft Fabric.Exposure to AI/ML and GenAI tools (e.g., GitHub Copilot, Microsoft 365 Copilot, Snowflake Cortex) for accelerating modeling, documentation, and metadata enrichment.Hands-on experience with ETL tools (e.g., Informatica, Azure Data Factory).Hands-on experience with BI tools and reporting software.Experience with a scripting language used for analytics such as Python or R.