AWS Data Architect

AWS Data Architect Company Overview   Random Bit is a system modernization partner that specializes in enterprise architecture, solution architecture, data architecture, cloud transformation, data governance, compliance framework solutions, and organizational change management for both public and private sector clients.

Job Summary 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.

The AWS Data Architect will be relied upon to :

• 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 Required Experience and Skills :   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 Desired Certifications :