Data Architect

What We Provide

• Referral bonus opportunities     
• Generous paid time off (PTO), starting at 30 days of paid time off and 9 company holidays   
• Health insurance plan for you and your loved ones, Medical, Dental, Vision, Life and Disability    
• Employer-matched retirement saving funds   
• Personal and financial wellness programs    
• Pre-tax flexible spending accounts (FSAs) for healthcare and dependent care     
• Generous tuition reimbursement for qualifying degrees   
• Opportunities for professional growth and career advancement    
• Internal mobility, generous tuition reimbursement, CEU credits, and advancement opportunities 

What You Will Do:

• Data Architecture Strategy
• Develops and maintains enterprise data architecture standards, principles, patterns, and roadmaps in alignment with enterprise architecture direction and organizational priorities. 
•  Develops target-state data architectures that support digital transformation, cloud modernization, interoperability, analytics, reporting, artificial intelligence and machine learning initiatives, and operational efficiency.
•  Designs scalable enterprise data models across clinical, claims, care management, member, provider, financial, operational, and engagement domains.
• Aligns data platform investments with business strategy, regulatory requirements, enterprise scalability objectives, and data governance goals.
•  Supports data architecture governance processes and participates in architecture review activities.
• Partners with enterprise architects, solution architects, application owners, and analytics leaders to support consistent data architecture practices across the organization. 
•  Cloud Data Platform Modernization
• Leads modernization of enterprise data platforms utilizing AWS, Azure, Snowflake, Databricks, SQL Server, and cloud-native healthcare platforms. 
• Designs scalable cloud and hybrid-cloud data architectures supporting enterprise reporting, analytics, operational data stores, data lakes, data warehouses, and data marts. 
•  Defines enterprise data platform patterns for data ingestion, transformation, modeling, pipelines, data quality, metadata management, master data management, data lineage, data security, and data governance.
•   Guides migration of legacy healthcare data platforms to modern cloud-based architectures.
• Partners with data engineering teams to define reusable and scalable data pipeline frameworks.
•  Optimizes data architectures for performance, cost, reliability, scalability, and maintainability.
•  Vendor Data Platform & Application Data Management
• Leads data architecture oversight for enterprise vendor platforms and software-as-a-service ecosystems. 
• Evaluates, rationalizes, and optimizes data flows across clinical, operational, financial, customer relationship management, care management, claims, and analytics systems.
•  Partners with business, procurement, application, and vendor teams on product evaluations, data capability assessments, and technology decisions.
• Defines vendor data exchange, migration, retention, reporting, and integration strategies.
•  Ensures vendor solutions align with enterprise data governance, security, interoperability, scalability, and analytics requirements.
• Assesses vendor platforms for data accessibility, application programming interface maturity, data model transparency, reporting capabilities, and integration readiness.
•   Data Integration & Interoperability
• Defines data integration approaches across payer, provider, vendor, and enterprise platforms.
•   Supports implementation of interoperability solutions utilizing healthcare standards including HL7, FHIR, and X12/EDI.
• Partners with application, integration, and data engineering teams to support reliable and scalable data exchange. 
• Supports reusable integration patterns and data architecture standards across enterprise systems. • AI Data Enablement 
• Contributes to and collaborates on artificial intelligence strategy and architecture initiatives across healthcare payer and provider domains. 
• Designs scalable artificial intelligence and machine learning-enabled data platforms utilizing AWS artificial intelligence and machine learning services, Snowflake Cortex, Salesforce Einstein, and cloud-native artificial intelligence technologies. 
• Supports development of data foundations required for artificial intelligence, advanced analytics, and data-driven decision making. 
• Leadership & Collaboration 
• Serves as a trusted advisor to leadership, business stakeholders, and technology teams on data architecture topics.
• Collaborates with solution architects, engineers, and technical leads to support architecture alignment and solution delivery. 
• Facilitates cross-functional architecture planning and decision-making activities.
• Supports development and maintenance of data architecture standards, patterns, and governance artifacts.
• Participates in special projects and performs other duties as assigned.

• Licenses and Certifications:
  Snowflake SnowPro Certification preferredAWS Certified Solution Architect - Professional Certification preferredAWS Certified Data Analytics or AWS Certified Data Engineer Certification preferred
  
  Education:
  Bachelor's Degree in Computer Science, a related discipline, or equivalent experience requiredMaster's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related field preferred
  
  Work Experience:
  
• Minimum of eight (8) years of experience in data architecture, enterprise data platforms, data engineering, solution architecture, or technology leadership roles required
• Minimum of three (3) years of experience supporting healthcare payer and/or provider organizations required
• Deep expertise with AWS cloud data services, Snowflake, Databricks, enterprise data integration, data warehousing, data lakes and lakehouse architectures, and software-as-a-service data architectures required
• Experience with enterprise data modeling and enterprise data standards, including Data Vault modeling methodologies required
• Understanding of healthcare business domains including claims, care management, clinical operations, provider management, member engagement, population health, quality measures, utilization management, and value-based care required
• Strong knowledge of healthcare interoperability standards including HL7, FHIR, and X12/EDI required
• Experience working with AWS data services including AWS Glue, Amazon Redshift, Amazon S3, AWS Lake Formation, Amazon Athena, Amazon EMR, AWS Lambda, AWS SageMaker, or Amazon Bedrock preferred
• Experience with Snowflake capabilities including Snowpipe, Streams and Tasks, Snowpark, Dynamic Tables, Data Sharing, and Snowflake Cortex AI preferred