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Data and Analytics

Data Architect

CTH – 6 Months

Location: Remote

The Data Architect is primary responsible to design, deploy, manage, and mature the 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. 

Duties:

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 

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).

Skills:

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.

Establish and define analytics solution and data technologies system standards

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. 

We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

This serves as notice per Iowa drug testing notification laws; applicants that reside in Iowa are subject to drug testing.


    • Job type: Temp to Perm
    • Location: Anywhere
    • Date posted: