Cloud Data Architect

Summary

Join Experian Health as an experienced Cloud Data Architect & Engineer. Design HIPAA-compliant data architectures using AWS services. Lead the migration of legacy healthcare data systems to AWS. Build and secure scalable ETL/ELT pipelines. Integrate healthcare data from various sources into centralized data lakes. Ensure data quality, lineage, and governance. Automate data workflows using Terraform and CI/CD pipelines. This remote position offers a great compensation package and core benefits.

Requirements

• Bachelor's degree in Computer Science, Health Informatics, or a related field
• 7+ years' experience in data architecture and engineering, with at least 3 years' experience on AWS
• 5+ years' knowledge of healthcare data standards (e.g., HL7, FHIR, ICD-10, CPT, LOINC)
• 5+ years' proficiency in AWS services: S3 , Glue , Redshift , Athena , HealthLake , Kinesis , Lambda , IAM , CloudWatch as well as with SQL , Python , and Spark in cloud environments
• Experience with HIPAA , HITECH , and healthcare data privacy/security best practices
• AWS certifications (e.g., AWS Certified Data Analytics – Specialty , AWS Certified Solutions Architect – Professional )

Responsibilities

• Design HIPAA-compliant data architectures using AWS-native services such as AWS HealthLake , Redshift , Glue , Lake Formation , and S3
• Lead the migration of legacy healthcare data systems to AWS
• Establish data architecture standards aligned with HIPAA , HITECH , and 21st Century Cures Act requirements
• Build, secure, scalable ETL/ELT pipelines using AWS Glue , Lambda , Step Functions , and Athena
• Integrate healthcare data from EHRs, HL7/FHIR APIs, claims, and IoT devices into centralized data lakes
• Implement real-time data streaming using Amazon Kinesis or MSK (Managed Kafka)
• Ensure data quality, lineage, and governance using AWS Glue Data Catalog and Lake Formation
• Automate data workflows using Terraform and CI/CD pipelines

Preferred Qualifications

• Experience with healthcare analytics platforms (e.g., Epic Caboodle, Cerner HealtheIntent)
• Familiarity with Amazon SageMaker for healthcare ML use cases
• Experience with orchestration tools like Apache Airflow , dbt , or Dagster

Benefits

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remote, hybrid or in-office
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays