Enterprise Data Architect

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. The Enterprise Data Architect sets the technical foundation for how data is structured, integrated, stored and governed across our Medicare Advantage health plan — translating business strategy into scalable, compliant, and future-ready data solutions/services. This role partners directly with clinical operations, actuarial, compliance, IT, and business intelligence teams to ensure data assets support accurate risk adjustment, Star ratings performance, regulatory reporting, and member outcomes. The position drives measurable impact on the organization's ability to use data as a strategic asset — enabling analytics, AI/ML capabilities, and CMS-compliant reporting at scale. Job Duties/Responsibilities   Design and govern the data architecture   that spans operational systems, cloud platforms, and analytics environments to support clinical and business workflows across our Medicare Advantage lines of business.   Build and   maintain   data models   (conceptual, logical, and physical) that enable   accurate   risk adjustment, HEDIS reporting, Star ratings optimization, and encounter data submissions to CMS.   Establish and enforce data governance frameworks   — in coordination with the Data Governance, compliance, and privacy teams — covering data quality, lineage, PHI/PII classification, and audit readiness.   Integrate structured and unstructured data   from claims systems, EHRs, pharmacy platforms, and third-party sources into unified, reliable data pipelines that serve analytics and operational decision-making.   Define and uphold security architecture   that meets HIPAA, CMS, and SOC 2 requirements while enabling   appropriate , governed access for analytics teams and business consumers.   Evaluate and recommend data platforms, cloud technologies, and vendors   — including tools for data virtualization, orchestration,   consumption,   analytics   and AI/ML infrastructure — that align with organizational strategy and roadmap priorities.   Serve as the primary technical data partner to cross-functional leaders   across clinical operations, population health, finance, product, and compliance — translating complex architecture decisions into   clear   business context.   Advance data-enabled innovation   by scoping and piloting emerging capabilities — including generative AI, FHIR-based interoperability, and real-time streaming — that support care management and member engagement initiatives.   Supervisory Responsibilities   This role does not carry direct supervisory responsibility. The Enterprise Data Architect leads through technical authority and cross-functional influence across engineering, analytics, governance, and business teams.   Job Requirements   Experience   Required:   10+ years of progressive experience in data architecture, enterprise data integration, and database design   Minimum 2 years of experience working in a health plan, payer, or healthcare delivery system with direct familiarity with claims data, EHRs, HEDIS, and CMS reporting environments   Demonstrated experience designing data platforms in regulated, audit-sensitive environments with PHI and PII datasets   (including canonical models for Enterprise Data Platforms)   Proven experience with cloud data platforms (AWS, Azure, or GCP) and modern architecture patterns including data lakes,   lakehouses , and real-time streaming   Experience leading cross-functional architecture initiatives and influencing senior stakeholders without direct authority   Experience with   working in   agile   delivery model.   Preferred:   Experience designing data solutions for Medicare Advantage-specific programs including risk adjustment, Star ratings, RADV audits, and value-based care models   Experience enabling AI/ML and generative AI capabilities within a healthcare data platform context   Background in   DataOps , Agile delivery methodologies, and healthcare interoperability standards (FHIR, HL7)   Education   Required:   Bachelor's degree in Computer Science , Information Systems, Data Science, Engineering, or a related technical field; equivalent combination of education and   demonstrated   experience will be considered   Preferred:   Master's degree in a related technical or data discipline   Training   Required:   Demonstrated working   proficiency   with cloud data platforms (Azure Databricks, Snowflake,   BigQuery , Redshift, or equivalent)   acquired   through direct hands-on project experience   Preferred:   Cloud platform certification (AWS Certified Data Analytics, Azure Data Engineer Associate, or Google Professional Data Engineer)   Data governance or architecture certification (TOGAF, DAMA-CDMP)   Skills & Competencies   Technical / Role-Specific Skills   Data Architecture & Modeling   — Expert-level   proficiency   in conceptual, logical, and physical data modeling using industry methodologies (Kimball, Inmon, Data Vault).   Cloud Data Platforms   — Hands-on experience with Snowflake, Databricks,   BigQuery , or Redshift ; familiarity   with data lake and   lakehouse   architectures.   Data Integration & Orchestration   — Working knowledge of ETL/ELT tools and orchestration platforms (Informatica, Talend,   dbt , Airflow).   Healthcare Data Standards & Regulatory Knowledge   —