Random Bit LLC

IT Support

• Recommends and participates in activities related to the design, development and maintenance of the Enterprise Architecture (EA) including design processes, architectural artifact requirements, and architectural best practices.
• The Enterprise Architect leads the extended team in a collaborative manner, while driving to timelines and outputs.
• Recommends and participates in the analysis, evaluation and development of enterprise long-term strategic and operating plans and delivery roadmaps, to ensure that the EA objectives are consistent with the enterprise’s long-term business objectives, adjusting and refining as necessary.
• Recommends and participates in the development of data management strategy, data architecture, and data governance processes.
• Recommends and participates in the design and implementation of standards, tools and methodologies, and then leads adoption.
• Identifies and recommends areas appropriate for further study and participates in any Proof of Concept projects required to thoroughly investigate architectural possibilities and strengthen arguments for their adoption.
• Takes responsibility for effective communications artifacts to help general understanding of the concepts and their applicability and value.
• Effectively collaborates with projects to review the objectives and constraints of each solution across the Medicaid enterprise and determines conformance with the EA, SOA, and software engineering patterns.
• Recommends and explains the most suitable technical architecture and defines the solution at a high level.
• Ensures that technology solutions are properly secured, according to Identity Management and Access Control standards.

Enterprise Architect

Data Engineer

• Random Bit is a system modernization partner specializing in enterprise, solution, and data architecture, cloud transformation, data governance, compliance, and organizational change management for public and private sector clients.
• Seek an AWS Data Architect with Medicaid, Medicare, or Health and Human Services experience, particularly claims and financial management domains.
• Provide technical leadership and support implementation teams by designing high-quality, cloud-native data solutions on AWS.
• Define data strategy and technical solutions for managing transactional, relational, and operational data stores within AWS.
• Collaborate with Enterprise Architects and Business Analysts supporting enterprise strategy across Medicaid and healthcare data domains.
• Establish canonical models, define interface specifications, and map data structures.
• 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 establish adoption patterns.
• Review data architectures for effectiveness, efficiency, and alignment with enterprise objectives.
• Develop implementation and remediation strategies for data architecture non-compliance.
• Develop architectural strategy for metadata management, including tooling and metadata governance.
• Manage metadata models to support data quality and mastering processes.
• Develop and maintain Conceptual, Logical, and Physical data models at enterprise and domain levels (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 with business owners and data governance committee.
• Research emerging technologies, data modelling methods, and information management systems.
• Perform data mapping between canonical models and formats such as X12 EDI, FHIR, JSON, XML, or proprietary formats.
• Support DBAs, network designers and IT personnel in designing and managing data infrastructure and strategy.
• Participate in Data Governance Committee meetings and represent the architecture team.
• Collaborate with solution architects, software developers, DBAs, design analysts and information modelling experts to determine capabilities, requirements, and timelines.

Data Architect, AWS

Solutions Engineer

• 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 development team members
• In the context of solution prototypes, write high-quality, efficient code in Python and JavaScript without guidance
• Provide ongoing guidance and coaching to development team members
• Provide AWS cloud-native subject-matter expertise to developers
• Conduct code reviews and feedback on implementation patterns
• Capture implementation patterns into development standards and architecture best practices, as needed

Enterprise Architect

Data Architect, AWS

Senior AWS Solution Architect