Data Architect

Overview

The Data Architect at Cook Medical is responsible for the architecture and architectural deliverables for Cook Medical IT data environments. In alignment with enterprise architectural practices, they work closely with a team including data engineers, solution architects, software engineers, and operations staff to ensure a high quality, well-designed, and functioning IT data environments.

Responsibilities

Create and manage architectural deliverables for the data domain and key initiatives. Collaborate with other members of the architecture team and subject matter experts to define the future state and influence priorities across IT technology to enhance and mature data capabilities. Participate in the evaluation and selection of key technologies and identify pilot opportunities. Conduct analysis of industry best practices, market offerings, and Cook opportunities to be proactive in advancing capabilities. Ensure the architecture / design of data components adhere to enterprise principles and quality standards. Identify, communicate, and mitigate potential technical risks per strategy or project.

Collaborate with enterprise architects on the development and implementation of standards. Work in partnership with multidisciplinary teams to deliver well-designed solutions and help mature support staff procedures. Effective oral and written communications throughout various levels of the global organization. Ability to work in collaborative and independent work situations and environments with minimal supervision. Must have excellent analytical and problem solving skills. Must work and interact effectively and professionally with and for others to achieve company goals.

Qualifications

Bachelors degree in computer science, technology, engineering or related field.; or experience of such kind and amount as to provide a comparable background. Minimum of 3 years experience in data engineering, data architecture, and/or data modeling. Experience in a data architecture role preferred. Knowledge of data pipeline tools and scripting/programming languages.

Proficient in data modeling, basic data architecture principles, SQL, Erwin, Microsoft SQL Server, NoSQL databases, Microsoft Azure (or other cloud data environments). Demonstrated organizational, analytical and interpersonal skills. Ability to quickly comprehend new technology capabilities and apply use.

Physical Requirements/Working Conditions

Works under general office environmental conditions. Sitting for extended periods, utilizes close visual acuity for working with computers, etc. Some travel (domestic and international) required.

This position can be a remote position, but may require occasional visits into a Cook facility.  Requires occasional early morning or late evening teleconferences.