• Define and develop the spec, architecture, and micro-architecture of key architecture modules (such as the in-memory compute unit, on-chip network, and memory orchestration units) based on the requirements of the workloads and software deployment flow • Contribute to the modeling of aforementioned key architecture modules in our C++ simulation framework to ensure a functional implementation of the features • Collaborate with the design verification team to deliver a strategy and infrastructure for the testing of the architecture features within said modules • Work with the software team and other architects to analyze the performance and efficiency of the architecture modules for key workloads, identify performance bottlenecks, and guide architectural decisions • Stay up to date with the latest trends and research in AI workloads, architectures, and applications to help define a path for the future generations of architectures

• Own the end-to-end systems architecture for Slingshot's mission software and data ecosystem. • Define architecture principles, technical standards, integration patterns, and design review processes across Slingshot Portal. • Ensure Slingshot's architecture supports secure deployment models, interoperability with customer mission systems, and integration of proprietary, customer, government, and third-party data sources. • Partner with product and engineering leaders to align architecture roadmaps with customer mission needs. • Strengthen, scale, and lead Slingshot's mission assurance function for software-intensive and hardware-enabled space operations capabilities. • Mature repeatable assurance processes for requirements management, design control, safety and risk analysis, verification and validation, configuration management, technical review governance. • Define the assurance approach for AI/ML-enabled space operations capabilities. • Establish bi-directional traceability from customer needs and mission threads to requirements, architecture, data and model dependencies, verification evidence, operational procedures, and product releases.

Role Description 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 Qualifications - 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 - AWS Solution Architect - Associate Benefits This position can be remote and work hours must be based on Eastern Standard Time business hours. This is a W-2 position and we offer a competitive salary and benefits package.

• Own the application-level solution design vision for Cloud processes across multiple business groups and technologies. • Define target-state, transition, and future-state solution design aligned to organizational strategy, application roadmaps and ensuring consistency and reuse of patterns. • Establish, enforce, and evolve solution design governance frameworks, principles, standards, and reference models. • Act as the reviewer for solution decisions, exceptions, and risk acceptance. Oversee and validate solution designs produced by other Solution Architects and technical teams. • Ensure solutions are upgrade-safe, secure, scalable, cost-effective, and supportable. • Govern enterprise integration strategies, API standards, and data ownership models. • Ensure solutions comply with enterprise security, compliance, audit, and regulatory requirements. • Partner with executive leadership, business sponsors, and delivery leadership to align technology strategy with business outcomes. • Translate complex architectural concepts into executive-level guidance and recommendations. • Drive team collaboration by partnering with developers and stakeholders to deliver optimized applications and integrations; providing technical guidance through design and code reviews. • Lead business interaction by engaging business partners to understand needs, respond to questions and concerns, and translate requirements into actionable technical solutions. • Mentor Solution Architects and Technical Architects on solution design thinking, governance, design quality and drive maturity through standards of adoption and knowledge sharing. • Demonstrate curiosity and initiative by proactively exploring new technologies, methodologies, and tools; evaluating options; and experimenting with solutions that improve scalability, security, and maintainability. • Apply strong research skills by conducting thorough evaluation of new technologies, frameworks, and best practices through documentation review, trusted resources, and community guidance.