Abacus Insights - Senior Healthcare Data Modeler
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Requirements
• 8+ years of experience in data modeling, enterprise data architecture, and cloud-based data engineering. • 4+ years leading data modeling teams in enterprise environments. • Expertise in enterprise data modeling tools (Erwin, ER/Studio, DBSchema, or similar). • Strong hands-on experience with cloud data platforms (Databricks, Snowflake) and data lakehouse architectures. • Deep understanding of healthcare data models across Core Payer (Claims, Pharmacy, Membership, Enrollment, Provider, Billing, Premium) and Clinical Interoperability (FHIR, HL7, ADT, CCDA, etc.) domains. • Experience with schema evolution, lossless data modeling, and data versioning strategies. • Strong background in SQL, performance tuning, and query optimization for large-scale datasets. • Hands-on experience with data engineering workflows, including data pipeline integration, ELT/ETL optimizations, and data transformation frameworks. • Ability to mentor junior modelers, enforce modeling best practices, and drive adoption of enterprise data standards. • Excellent collaboration skills to work with data architects, engineers, and client implementation teams. • What we would like to see, but not required • Experience with OBT, data Lakehouse, and metadata management frameworks. • Familiarity with business intelligence (BI) and reporting solutions on modern cloud data warehouses. • Knowledge of APIs, SDKs, and data distribution frameworks for enabling real-time and batch data access. • Experience with data governance, security, and regulatory compliance in healthcare data management. • Compensation: Compensation for this role is based on experience, skills, and location, and includes base salary plus eligibility for performance bonuses and equity grants.
Responsibilities
• Data Modeling Leadership & Best Practices • Lead a global team of data modelers to build scalable, high-performance physical data models aligned with enterprise architecture and industry standards. • Define and enforce data modeling best practices, including schema evolution, lossless data modeling, metadata management, and data versioning. • Convert conceptual and logical data models into optimized physical models using enterprise data modeling tools (Erwin, ER/Studio, DBT, or similar). • Ensure models support analytical (data science, actuarial, reporting) and operational (Claims, Care Management) use cases. • Maintain metadata, business glossary, and data dictionaries to support data lineage and governance. • Implement data quality rules and validation frameworks to meet industry SLAs and compliance requirements (HIPAA, HITRUST, CMS regulations). • Technical Data Modeling Engineering • Own data modeling workflows, including version control, schema deployment, and upgrade automation. • Own metadata tagging and data quality rules implementation for healthcare data domains. • Work with engineering teams to implement data models in Databricks, Snowflake, and modern cloud architectures. • Optimize data models for query performance, indexing, partitioning, and storage efficiency. • Ensure data enrichment (standardization, transformations, algorithms, and grouping) is seamlessly integrated into the data models. • Design and document data delivery patterns using complex events or business rules to enable real-time and batch processing. • Implement data federation strategies, ensuring interoperability between enterprise data lakes, cloud data warehouses, and transactional systems. • Collaboration & Client Engagement • Collaborate with Director of Data Modeling and client implementation teams to understand client needs, assess data model impact, and enhance models for efficient implementations. • Partner with engineering and product teams to define and prioritize data model features in the product roadmap. • Work with client management teams to provide support and technical expertise during client engagements.
Benefits
• What you’ll get in return: • Unlimited paid time off – recharge when you need it • Work from anywhere – flexibility to fit your life • Comprehensive health coverage – multiple plan options to choose from • Equity for every employee – share in our success • Growth-focused environment – your development matters here • Monthly cell phone allowance – stay connected with ease #LI-SB1 #LI-Remote
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