Enterprise Data Architect

Alignment Health

. Design and govern data architecture across operational systems, cloud platforms, and analytics environments .

Posted 9/23/2026full-timeRemote • United StatesSeniorLead💰 $130,332 - $195,498 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in data architecture and integration within healthcare environments, focusing on data governance, security compliance, and advanced data modeling methodologies. Proficient in leveraging cloud technologies and data platforms to support operational and analytical needs while ensuring data quality and regulatory adherence.

Highest-signal resume keywords

Data ArchitectureHealthcare Data IntegrationData Governance FrameworksCloud Technologies (AWS, Azure, GCP)Advanced SQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Modeling (Conceptual, Logical, Physical)ETL/ELT Tools (Informatica, Talend, dbt, Airflow)Data Lakes and LakehousesPython or Scala for Data EngineeringGenerative AI and FHIR Interoperability

Soft Skills

Cross-Functional InfluenceLeadership Without Direct Authority

Tools & Technologies

Azure DatabricksSnowflakeBigQueryRedshiftMLflow

Industry Keywords

HIPAA ComplianceCMS ReportingHEDISRisk AdjustmentMedicare Advantage

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformInformaticaPythonScalaSQLVault

About the role

Key responsibilities & impact

Design and govern data architecture across operational systems, cloud platforms, and analytics environments
Build and maintain conceptual, logical, and physical data models supporting risk adjustment, HEDIS reporting, Star ratings, and CMS encounter data submissions
Establish and enforce data governance frameworks 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 data pipelines
Define and uphold security architecture meeting HIPAA, CMS, and SOC 2 requirements
Evaluate and recommend data platforms, cloud technologies, and vendors
Serve as the primary technical data partner to leaders across clinical operations, population health, finance, product, and compliance
Scope and pilot emerging capabilities including generative AI, FHIR interoperability, and real-time streaming
Lead through technical authority and cross-functional influence without direct supervisory responsibility

Requirements

What you’ll need

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
Experience designing data platforms in regulated, audit-sensitive environments with PHI and PII datasets, including canonical models for Enterprise Data Platforms
Experience with 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 working in an agile delivery model
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
Demonstrated working proficiency with Azure Databricks, Snowflake, BigQuery, Redshift, or equivalent, acquired through direct hands-on project experience
Expert-level proficiency in conceptual, logical, and physical data modeling using Kimball, Inmon, or Data Vault methodologies
Hands-on experience with Snowflake, Databricks, BigQuery, or Redshift; familiarity with data lake and lakehouse architectures
Working knowledge of ETL/ELT tools and orchestration platforms such as Informatica, Talend, dbt, and Airflow
Applied knowledge of Medicare Advantage data constructs including HIPAA, CMS encounter data, HEDIS, STAR ratings, risk adjustment/HCC coding, and ICD-10/CPT codes
Ability to design and enforce governance frameworks, data classification, lineage tracking, and PHI/PII protection across regulated environments
Advanced SQL proficiency; working knowledge of Python or Scala for data engineering and pipeline use cases
Familiarity with MLflow, Feature Store, vector databases, LangChain, and generative AI APIs in healthcare data environments
Preferred experience with Medicare Advantage programs, AI/ML and generative AI, DataOps, FHIR, and HL7
No required licensure