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About Random Bit
Random Bit is a specialty consultancy company that provides outstanding Technical Assistance Consulting and Architecture Consulting services in the Health and Human Services System Modernization space. Random Bit believes in, and lives by, the values of Excellence, Integrity, and Responsibility in how we treat each other and our clients. Our employees are expected to live by these values both within the Random Bit and client workplaces. Random Bit employees are highly qualified, focused, and experienced. Our teams are comprised of employees who have a unique collection of skills, experience, and knowledge and we have developed a proven methodology for service delivery.
Job Summary
The Data Architect is responsible for the strategy, vision, and technical approach to managing the data across transactional, relational, and operational data stores. The Data Architect will interact with Enterprise Architects and Solution Architects that are responsible for integrating data from trading partners across the Medicaid Enterprise into a data hub.
The data hub serves as the source of truth and integration platform that connects source and target systems for data exchange. The Data Architect also needs to support tactical activities such as establishing canonical models (both enterprise and domain-specific), defining interface specifications, and mapping from source structures or target structures.
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.
The Data Architect will be relied upon to:
Design the information architecture to support an operational data store that facilitates data exchanges across the Medicaid Enterprise
Review data architectures to determine effectiveness, efficiency, and compliance 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 drive data processing such as data quality and mastering routines
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 council
Define, and maintain, business rules for data elements in conjunction with business owners and the data governance council
Research new 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 to create effective and secure methods for data backup and recovery
Participate on Data Governance Council meetings, representing the architecture and development teams
Collaborate with internal and external personnel, including solution architects, software developers, database administrators, design analysts and information modelling experts to determine project requirements and capabilities, and strategize development and implementation timelines
Required Experience and Skills:
Bachelor’s degree in information management or similar field; relevant experience acceptable in place of degree
7+ Years of experience in Data Modeling (Conceptual, Logical and Physical). Must be able to design and explain using entities, attributes, hierarchies, inheritance, relationships and their associated metadata
5+ years of experience in notations such as UML 2.0 and Archimate
At least 3 years of data architecture experience
Proficient with relational databases; transactional and analytical
Proficient with NoSQL databases
Creative problem-solver with strong communication skills
Candidates should also have:
Data visualization experience
Data warehouse design and implementation experience, specifically related to the data models
Transactional data store data modelling design using relational and document data patterns
REST API data modelling experience
Data transformation experience
Domain Driven Design experience
Desirable Technologies:
JSON, XML schema definition
FHIR data structures
EDI data structures
Python, R
Experience with MarkLogic, MongoDB, DynamoDB, Hadoop, Redshift, or other big data platforms
AWS Cloud data services (RDS, Aurora, PostgreSQL)
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