Fairview Health Services  Senior Data Architect in Twin Cities, Minnesota

JobTitle Senior Data Architect

Specialty IT Professionals

Location Fairview offices at 2101 Kennedy

Department Enterprise Architecture

Hours per 2 weeks 80

Shift Day

Date Posted 05/02/2018

Job Number 18-72708

Job Description:

The Senior Data Architect is primary responsible to design, deploy, manage and mature Fairview's data architecture to enable the intended business architecture. Key functions include: understand business strategy and architecture, set data architecture principles, create data models to describe key data assets and their business value, develop roadmap for data and data technologies to enable implementation of intended business architecture and apply architecture principles and standards to broadly influence choice, timing, pace and maturation of various information technology platforms.

As an integral part of Enterprise Architecture, this role is expected to foster effective relationships in Business and IT, contribute to the development of overall architecture practice and strategy, and support enterprise initiatives that promote data dexterity and stewardship at Fairview.

Job Expectations:

Develop target data architecture that enables intended business architecture and architecture vision, while addressing request for architecture work and stakeholder concerns. Identify candidate architecture roadmap components based upon gaps between baseline and target data architectures.

Create data and information architecture maps, viewpoints and metadata to contribute to business capability framework for domain and enterprise models.

Create and maintain data maps of internal and external sources of data, including descriptive business meaning of associated data, information about each source's provenance from origination(s) to target(s), its use, timeliness, associated quality metrics, and details about applications or organizations that maintain data and the technologies in which it is stored, integrated, manipulated, analyzed, and consumed. Where possible, data documentation should include associated semantics including mapping to biomedical standards to adequately understand subtle differences in meaning and promote the reuse, interoperability, and effective analysis of data.

Define integrative views of data that draws from across the enterprise to meet Business needs. Work with Business, business architects, data technology engineers, and application designers to identify and model integrative data views and determine service requirements attributes, including relative data quality, currency, availability, response times and data volumes with associated technology solutions and processes (from procurement to use/consumption).

Coordinate work across IT teams and business partners (including stakeholders in the business where appropriate), to document data throughout the virtual enterprise including documentation of source and destination of each step, data currency and associated processes (e.g., data transformation aggregation, calculation or analysis, storage, consumption/use).

Partner with IT functions and various Business areas to provide options and recommendations and assist in brokering internal agreements regarding use and sharing of data (including associated access controls for sensitive data) across systems and groups.

Define and establish metadata standards and processes including business descriptions of the data, details of any calculations or summaries, descriptions of data sources, indications of quality and accuracy, and applicable biomedical standards and taxonomies.

Define shared canonical view of data across data sources to centralize data transformations and data reuse across the enterprise.

Define technical standards and guidelines for data technologies. Examples include processes and , and models of selected entities, objects and processes for architected data stores, technologies for extraction-transform-load processes, interfacing, Web-services, and data orchestration, analysis (including big data applications and high performance computing). Establish process standards to promote reuse and interoperability of existing data stores, applications, and platforms.

As part of Enterprise Architecture, investigate emerging technologies and new releases to ensure standards are up-to-date, participate in proof-of-concept and other projects.

Establish and define analytics solution and data technologies system standards (including solution tiers), and supporting technology processes for information assets (e.g., reports, dashboards, analyses).

Evaluate the impact of projects on enterprise and data architecture and recommend solutions that align with target state architecture.

Design cost effective, secure and reliable data technologies and analytic solutions that align with enterprise architecture. Identify, document and promulgate interoperability, reuse and mechanisms for harvesting additional data value with technologies and solutions.

Provide templates and guides for applications teams in the process of application build and configuration to document and maintain associated metadata about application data and its dependencies. Establish process standards for application and business teams, if applicable, with decision-rights over application configuration and data processes to maintain documentation throughout the lifecycle of an application, particularly as part of enhancements, upgrades, or other changes.

Develop and execute a communications program to articulate the benefit of Enterprise Architecture overall and data architecture in particular across the enterprise. Establish appropriate forums in collaboration with Data Technologies and Analytics where appropriate for stakeholders to communicate requirements and priorities, provide input and discuss decisions.

Support data stewards who educate the Business on the importance of data quality thought its entire lifecycle, principles and standards for creating data of high value and quality, data semantics and opportunities to improve data quality.

Job Qualifications:


Bachelor's degree in computer science, IT, architecture, health informatics or other technology field; business administration; or equivalent work experience


8+ years' IT experience (or a combination of healthcare and IT experience)

Skills in data architecture, operations, or deployment methodologies and techniques including experience with formal architecture methodologies.

Knowledge of biomedical and healthcare standards, master data management, data warehousing, data integration, analytics (including associated methodologies), and big data technologies (including high performance computing)

5+ years in data and analytics and/or technical support experience

Excellent communication skills to effectively interact with all levels of technology and business partners

Excellent facilitation skills

Experience delivering concurrent, large information management projects at all phases-from project definition through design and delivery.

Solid understanding and applied expertise in solutions architecture designs and concepts, which include but are not limited to: SDLC Process, Security, high availability, recovery, performance, monitoring and operations design

Public speaking experience in front of large groups and executives

Experience working with vague requirements and/or within organizations that are non-structured

TOGAF or other comparable architectural certification or required to obtain certification within 6 months of hire


Advanced degree in computer science, IT, architecture or health informatics

Healthcare Industry specific knowledge that includes a working knowledge of industry standards and architectures

Significant data technology and analytics experience including traditional platforms and more innovative technologies and environments with exposure to the entire data technology stack.

Health informatics certification


About Fairview Health Services

Fairview Health Services (fairview.org) is an award-winning, nonprofit health system providing exceptional care across the full spectrum of health care services. Joined by HealthEast in June 2017, Fairview is one of the most comprehensive and geographically accessible systems in the state, with 11 hospitals—including an academic medical center and long-term care hospital—serving the greater Twin Cities metro area and north-central Minnesota.

Its broad continuum also includes 56 primary care clinics, specialty clinics, senior living communities, retail and specialty pharmacies, pharmacy benefit management services, rehabilitation centers, counseling and home health care services, medical transportation, an integrated provider network and health insurer PreferredOne. In partnership with the University of Minnesota, Fairview’s 32,000 employees and 2,400 affiliated providers embrace innovation to drive a healthier future through healing, discovery and education.

EEO/AA Employer/Vet/Disabled

All qualified applicants will receive consideration without regard to any lawfully protected status.