AWS Data Architect

Random Bit•Charlotte, NC

7d•Remote

About The Position

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 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.

Requirements

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

Nice To Haves

AWS Solution Architect - Associate

Responsibilities

Design information architecture to support an operational data store for data exchange across the Medicaid enterprise
Design and engineer 100% AWS cloud-native application components
Develop solution prototypes to demonstrate suitability and interoperability of chosen components, and to establish patterns for adoption by implementation team
Review data architectures to determine effectiveness, efficiency, and alignment with enterprise objectives
Develop comprehensive implementation and remediation strategies for data architecture non-compliance
Develop an architectural strategy for metadata management, including tooling and metadata governance
Manage metadata models that support data quality and mastering processes
Develop and maintain Conceptual, Logical, and Physical data models at the enterprise level and for specific data domains within Medicaid (Provider, Member, Claim, Reference)
Review data models with business owners and obtain approval from the data governance committee
Define, and maintain, business rules for data elements in conjunction with business owners and the data governance committee
Research emerging technologies, data modelling methods, and information management systems
Perform data mapping between the canonical models and data formats (both input and output) such as X12 EDI, FHIR, and other structured JSON, XML, or proprietary formats
Support database administrators, network designers and IT personnel on designing and managing the organization's data infrastructure and overall data strategy
Participate in Data Governance Committee meetings, representing the architecture team
Collaborate with internal and external personnel, including solution architects, software developers, database administrators, design analysts and information modelling experts to determine project capabilities, requirements, and timelines