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AWS Data Architect
Random Bit LLCAWS Data Architect designing cloud-native data solutions for healthcare data management. Collaborating with various stakeholders to ensure effective data strategy and implementation.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and engineering AWS cloud-native applications, developing comprehensive data architectures, and managing metadata governance within the healthcare domain. Proficient in data modeling, data transformation, and ensuring compliance with data governance standards.
Highest-signal resume keywords
AWS Cloud ServicesData Architecture DesignHealthcare Data ManagementData Modeling (UML 2.0, Archimate)AWS Solution Architect - Associate
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Object-Oriented Design PrinciplesData MappingData TransformationDomain-Driven DesignData Visualization ToolsRelational DatabasesNoSQL DatabasesData WarehousingMetadata ManagementData Governance
Soft Skills
Creative Problem-SolverStrong Communication SkillsCollaborative Mindset
Tools & Technologies
AWS GlueAWS LambdaAWS S3AWS CloudFormationAWS CloudWatchAWS CloudTrailAWS CodeCommitAWS EC2AWS SNSAWS SQS
Certifications & Qualifications
AWS Solution Architect - Associate
Industry Keywords
MedicaidMedicareProtected Health Information (PHI)Personally Identifiable Information (PII)Health InformaticsMedical ClaimsFinancial ManagementData Governance CommitteeInformation Management SystemsEmerging Technologies
Tech Stack
Tools & technologiesAWSCloudEC2NoSQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Comp & perks- Competitive salary
- Health insurance
- W-2 position