Vice President, Data Warehouse Engineering - Remote

Overview

The Vice President, Data Warehouse Engineering will drive the design, scalability, and optimization of HealthVerity's healthcare-focused data warehouse ecosystem—the most extensive and diverse in the United States. This role is ideal for a strategic, technical leader with deep expertise in healthcare data architecture, including the design of secure, scalable infrastructures capable of integrating and normalizing clinical, transactional, and operational data from thousands of healthcare providers and data partners. You will design and manage innovative, standards-compliant architectures that support complex, large-scale analytics and product development, shaping the future of healthcare data solutions.

In Short

• Architect Scalable Data Solutions: Design and implement the enterprise-wide healthcare data warehouse architecture, integrating complex data sources such as EHR systems, claims data, lab results, and patient registries into a unified data platform.
• Healthcare-Specific Data Modeling: Build and optimize data models to support healthcare-specific use cases, including longitudinal patient analysis, population health, and clinical research.
• Standards-Based Integration: Ensure data interoperability by integrating data using standards like ANSI 837/835, HL7, FHIR, and ontologies like ICD-10, CPT, NDC, and LOINC.
• Data Governance and Quality: Establish robust data governance frameworks tailored to healthcare compliance requirements (HIPAA, HITECH).
• Data Pipeline Optimization: Architect high-performance ETL/ELT pipelines that efficiently ingest, transform, and load multi-terabyte datasets in near real time.
• Cloud-Native Architecture: Design cloud-native solutions using AWS services.
• Data Security & Privacy: Lead the implementation of security frameworks ensuring data confidentiality, integrity, and availability.
• Master Data Management (MDM): Design and maintain master reference data systems.
• Advanced Query Performance: Optimize query execution for analytical workloads on large datasets.
• Cross-Functional Collaboration: Collaborate with data scientists, analysts, and product teams.

Requirements

• Extensive Data Architecture Expertise: 10+ years of hands-on experience designing, developing, and scaling large healthcare data warehouse ecosystems.
• Healthcare Data Knowledge: Deep familiarity with healthcare-specific data sources.
• Cloud-Native & Hybrid Solutions: Proven experience implementing cloud-based data platforms.
• Advanced Data Modeling: Strong knowledge of OLTP, OLAP, star schema, and snowflake schema designs.
• ETL/ELT Pipeline Design: Expertise in building scalable and automated ETL/ELT pipelines.
• Interoperability Standards: Practical experience working with healthcare messaging and data exchange standards.
• Distributed Computing: Hands-on experience with distributed data processing frameworks.
• Big Data Systems: Experience with big data ecosystems.
• Data Quality & Governance: Expertise in implementing automated data quality checks.
• Data Security & Privacy: Strong understanding of data encryption techniques.

Benefits

• Competitive base salary & annual bonus opportunity.
• 401(k) plan and stock options.
• Remote workdays and 3 days a week of in-office collaboration.
• Generous PTO targeted at 4 weeks per year.
• 12 weeks paid parental leave for childbearing and adoption.
• Comprehensive onboarding with mentorship program.
• Annual budget to support professional development pursuits.