Job Url: https://www.remoterocketship.com/company/randombitcorp/jobs/aws-data-architect-engineer-united-states-remote Job Description: Random Bit LLC Website LinkedIn All Job Openings Random Bit LLC is a business and technology partner that specializes in providing actionable solutions for system modernization challenges. They offer a range of services including enterprise and solution architecture, data governance, compliance frameworks, and cloud transformation for both public and private sector clients. With a commitment to integrity and transparency, Random Bit emphasizes a supportive work culture and aims to convert complex challenges into simple, effective solutions. IT Staffing β€’ IT Consulting Services 11 - 50 employees 🀝 B2B 🏒 Enterprise πŸ”’ Cybersecurity AWS Data Architect - Engineer July 4 πŸ‡ΊπŸ‡Έ United States – Remote ⏰ Full Time 🟑 Mid-level 🟠 Senior 🚰 Data Engineer AWS Cloud EC2 NoSQL Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ Design information architecture to support an operational data store for data exchange across the Medicaid enterprise β€’ Design and engineer 100% AWS cloud-native application components β€’ Develop solution prototypes to demonstrate suitability and interoperability of chosen components, and to establish patterns for adoption by implementation team β€’ Review data architectures to determine effectiveness, efficiency, and alignment with enterprise objectives β€’ Develop comprehensive implementation and remediation strategies for data architecture non-compliance β€’ Develop an architectural strategy for metadata management, including tooling and metadata governance β€’ Manage metadata models that support data quality and mastering processes β€’ Develop and maintain Conceptual, Logical, and Physical data models at the enterprise level and for specific data domains within Medicaid (Provider, Member, Claim, Reference) β€’ Review data models with business owners and obtain approval from the data governance committee β€’ Define, and maintain, business rules for data elements in conjunction with business owners and the data governance committee β€’ Research emerging technologies, data modelling methods, and information management systems β€’ 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 β€’ Support database administrators, network designers and IT personnel on designing and managing the organization's data infrastructure and overall data strategy β€’ Participate in Data Governance Committee meetings, representing the architecture team β€’ 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 🎯 Requirements β€’ Bachelor’s degree in information management, data science, statistics, public health, health informatics, or a related field or commensurate work experience β€’ Proficiency with object-oriented design principles and software design patterns β€’ Experience with the following AWS services: Glue Lambda S3 CloudFormation CloudWatch and CloudTrail CodeCommit EC2. SNS, SQS, KMS, VPC, and IAM β€’ Experience working with data models and relational, transactional, and NoSQL databases β€’ At least five years of experience with healthcare data, particularly in Medicare, Medicaid, Health and Human Services, medical claims, and financial management β€’ Familiarity with federal, state, and organizational policies that safeguard Protected Health Information (PHI) and Personally Identifiable Information (PII) β€’ At least five years of experience with UML 2.0 and Archimate notations β€’ Creative problem-solver with strong communication skills and a collaborative mindset β€’ Experience with data visualization tools β€’ Experience designing data warehouses and domain-specific data models β€’ Experience modeling transactional data stores using relational and document data patterns β€’ Experience modeling data for REST APIs β€’ Experience with data transformation and Domain-Driven Design