- Align data architecture and function with the practice's strategic goals and objectives
- Provide input into and/or create and maintain data technical and functional roadmap, current state to future state
- Provide expertise and thought leadership in data architecture, design, development, and operations
- Build and oversee data architecture frameworks to support MDM, reference, and application data solutions
- Build processes to support requirements, business acumen, and partnership with business stakeholders
- Provide guidance on healthcare projects to support building efficient processes and deliverables aligned with business strategy
- Evaluate and recommend emerging technologies, innovations, and service in data management
- Partner with data architects and engineers to define solution architectures, frameworks, development standards, and data quality best practices
- Design and specify strategies for high availability, disaster recovery, and backup
- Implement and maintain solutions for data modeling, ETL/API, data analytics, and metadata management
- Analyze and represent practice information needs in data models
- Create, maintain, and present data architecture diagrams
- Extend functional data capabilities through design and schema specification
- Guide key analysis and process in support of data quality and system performance
- Mentor and assist analysts, developers, and consumers in their use and adoption of best practices and standards
- Implement practices, processes, and technologies to ensure accuracy, validity, consistency, usability and overall quality of the data
- Partner with data architects, engineers, and developers to maintain technologies, practices, and standards for configuration, change, and release management
- Assist in team design, composition, structure, and budget planning
- Enable automation and improvements in data operations and support functions
- B.S. in Computer Science, MIS, Software Engineering preferred
- 12+ years of relevant experience in a data architecture, management, integration, governance, analytic roles
- 5+ years of technical leadership experience in a data architect role
- Proficient and current usage of data modeling tools such as ER Studio
- Experience with data architecture, data lakehouse, and data modeling; within the healthcare sector preferred
- Experience with creating and maintaining normalized data models for MDM, reference, and application data
- Experience designing, building, installing, configuring and supporting MDM solutions; experience with large data warehouses is a plus
- Experience in healthcare preferred; HL7 and Mirth is a plus
- Strong understanding of database and data principles, theories, process, and practices
- Exceptional critical thinking, communication, analytical, conceptual, and problem-solving skills
- Demonstrated aptitude for learning and assimilating new concepts and technologies
- Able to present ideas, concepts, and strategies in a manner consumable by business stakeholders
- Ability to effectively align work with stakeholder priorities and execute in a fast-paced environment
- Demonstrated team-oriented, collaborative behaviors and competencies
- Experience with dev/ops, cloud engineering, cloud based database platforms a plus
- Familiarity with SSIS, SSRS, Tableau, Control-M, GitHub, Power BI
- Experience in all data and data management roles is a plus
- Experience with at least one cloud platform, Azure strongly preferred - SQL Server, Data Factory, Databricks, Data Stream, ADLS
- Knowledge of data privacy practices and laws a plus
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Healthcare MDM Data Architect - San Diego, United States - RIT Solutions, Inc.
Description
Must be based in PST zone
Must have a valid LinkedIn profile
Duration: 12+ months
Data Architect to be part of the growing Enterprise Data team. This person will collaborate with practice stakeholders to translate their data-information-knowledge requirements into data solutions. This role requires demonstrated experiences with data strategy, planning, design, development and support. Accountable for data strategic planning, architecture, framework, requirements analysis, data modeling, meta data management, data integration design, development best practices, development standards and deployment process.
POSITION DUTIES AND RESPONSIBILITIES