AWS Data Architect

<h3>📋 Description</h3> • Random Bit is seeking an AWS Data Architect with experience in Medicaid, Medicare, or Health and Human Services, particularly within claims and financial management data domains. • This role provides technical leadership and supports implementation teams by designing high-quality, cloud-native data solutions on AWS. • The AWS Data Architect/Engineer is responsible for defining the data strategy and technical solutions for managing data across transactional, relational, and operational data stores within AWS. • This role collaborates with Enterprise Architects and Business Analysts who support enterprise strategy and analysis across Medicaid and healthcare data domains. • This position requires proficiency with AWS Cloud technologies and includes hands-on responsibilities such as establishing canonical models, defining interface specifications, and mapping data structures. <h3>🎯 Requirements</h3> • Bachelor’s degree in information management, data science, statistics, public health, health informatics, or a related field or commensurate work experience • Proficiency with object-oriented design principles and software design patterns • Experience with the following AWS services: Glue, Lambda, S3, CloudFormation, CloudWatch and CloudTrail, CodeCommit, EC2, SNS, SQS, KMS, VPC, and IAM • Experience working with data models and relational, transactional, and NoSQL databases • At least five years of experience with healthcare data, particularly in Medicare, Medicaid, Health and Human Services, medical claims, and financial management • Familiarity with federal, state, and organizational policies that safeguard Protected Health Information (PHI) and Personally Identifiable Information (PII) • At least five years of experience with UML 2.0 and Archimate notations • Creative problem-solver with strong communication skills and a collaborative mindset • Experience with data visualization tools • Experience designing data warehouses and domain-specific data models • Experience modeling transactional data stores using relational and document data patterns • Experience modeling data for REST APIs • Experience with data transformation and Domain-Driven Design