Overview: the systems of record principal domain architect is a key role in the enterprise architecture (ea) practice in mhealth fairview’s (mhf) it departmentAs a member of the ea team, this role contributes to the development of an architected it function for digital competency, with a focus on the data domain and obtaining value and insights from core systems of record (e.g., clinical, hr and finance systems)This role contributes to and applies mhf’s ea practices to precisely create architecture designs and roadmaps.
This role is responsible for analyzing the data needs of the organization, expanding and optimizing the data along its various facets (e.g., quality, accessibility) and data pipeline architecture, as well as optimizing data flow across the enterpriseThis data domain architect will support the application and analytics teams working with application developers, data engineers, integration developers, data analysts and data scientist on initiatives to ensure the data architecture and processes are consistent throughout the enterprise.
The principal domain architect will provide architectural guidance, technological vision, and solution developmentSpecifically, this position will develop target architecture and plans for the domain pertaining to data assets, data infrastructure, data analytics capabilities and processes to enable business partners, advanced analytics, and data science/researcher users ultimately to achieve a competitive advantage for the organizationThis delivery includes understanding and managing the data, how it interconnects, and architecting data for self-serve business intelligence, application interoperability opportunities and improved digital capabilitiesThis position will require the architect to be both business savvy and an expert in data analytics including various data technologies in order to frame the problem, shape proposed solutions, and champion implementation and organizational change.
The systems of record principal domain architect collaborates with other architects in the ea practice to develop a single, cohesive architecture and management plan for the it enterprise, develops living architecture and repository for reference and use across mhf, and contributes to mature the ea practiceThis role works closely with domain leaders and subject matter experts to develop target architecture and plan for the domain, presents the plan to management and explains why it is in the organization’s best interest to pursue it, and helps to strategically source technologies, partners and talent that are needed to achieve target capabilities.
The systems of record principal domain architect must be able to rapidly develop a strong understanding of it strategy, business goals, and operating constraints of the it organization, and current state of the it stackAs domain expert, this role must be able to synthesize architecture plans with an informed view of new and emerging technology solutions and flexible talent models to enable agile digital transformation in itThis role must possess an executive presence and excellent interpersonal skills as the incumbent will often lead via influence across multiple it functions to drive new initiatives and practicesResponsibilities/job description:
Design and continuously refine mhf’s data architecture to support the organization’s digital transformation and the next generation of products and data initiatives
Design and drive end to end multi-cloud, cloud agnostic, data solution architecture from concept through development and delivery
Produce data architecture best practices and guidelines for data engineering development, data modeling and data quality results
Evangelize and consult on enterprise data architecture in order to reduce data silos and promote the efficient, effective, accurate and secure use of data throughout the organization
Guide and assist in the development and implementation of data collection systems as necessary
Reduce redundancy, enable accessibility within security boundaries and foster corporate understanding of the meaning of the data
Design, develop, and support conceptual/logical/physical data models, structure and attributes of data elements to facilitate integration and data exchange with internal and external partners/vendors
Track, analyze and communicate commercial technology trends to non-technical audience
Review the solution requirements and lead the architecture to ensure selection of appropriate technology, efficient use of resources and integration of multiple systems and technology
Review diverse data sources and determine how to bring together to meet data reporting and interoperability requirements
Evaluate sources of information to determine possible limitations in reliability, consistency, quality and/or usability and proactively propose solutions as necessary
Utilize extensive experience / knowledge of master data management, data governance, data quality, and data security to optimize end to end data pipelines
Investigate, troubleshoot, and assist in design solutions of complex data engineering problems
Ensures that industry-accepted architecture principles, standards, guidelines and concepts are integrated with those of allied disciplines and coordinated roll-out and adoption strategies are in place
Understand and diligently apply mhf’s ea methodology, framework and process to contribute to the development of a single, cohesive architecture for the it enterprise.
Create architecture views, artifacts for architecture analysis and documentation, and management plan using the tools and templates prescribed by mhf’s ea framework
Upload architecture development plan and documentation into mhf’s online living architecture and ea repository to enable reference and use across mhf
Effectively contribute to improvement efforts within ea to mature the practice, develop architecture expertise and promulgate ea thinking and use across it
Artifacts accountable for:
All artifacts prescribed by mhf’s ea framework, appropriately phased for priority.
Qualifications: required
Education
Bachelor’s degree in computer science, information technology or related field or equivalent combination of education/experience
Experience
10+ years’ experience in data engineering
7+ years’ experience in data architect positions
5+ years of digital data management industry experience
Demonstrated ability to synthesize research on broad industry trends, present different and leading discussion on pro/con around approach and choices of design, technology and operations.
Demonstrated ability to simplify complex technical subject matter and communicate the business and operations impact of choices to business and it leaders.
Experience designing and building data solutions across multiple cloud vendors and on premises systems, including leveraging open source ecosystem
Applied experience in an agile delivery environment utilizing a combination of scrum, kanban, lean software development, xp or other agile process frameworks
Demonstrated experience with different data models like normalized, de-normalized, stars, and snowflake modelsWorked with transactional, temporal, time series, and structured and unstructured data.
Experience using the following software/tools:
Relational sql and nosql databases
Etl development tools
Data lifecycle
Data pipeline and workflow management tools
Cloud services
Data orchestration / integration / service bus tools
Api services
Stream-processing systems
Data lakes and data marts
Object-oriented/object function scripting languages
Demonstrated experience with data quality management
Experience with at least one data governance and metadata management tools ( collibra, reltio, inofrmatica, snaplogic )
Preferred
Education
Advanced degree in computer science, information technology or related
Experience
10+ years’ experience in data architect positions
10+ years of digital data management industry experience
5+ years’ experience designing and building data technology or analytics solutions across multiple cloud vendors including leveraging open source ecosystem
Experience with teams, devops, rally, jira, confluence and other productivity tools
Experience with leading / managing data classifications
In-depth knowledge of and proven cloud experience with multi-cloud data management and hybrid business intelligence stacks
Experience with healthcare data terminologies, high-performance computing
License/certification/registration
At least any one of common architecture frameworks (togaf, zachmann, dodaf, feaf)
