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Architect, IT Data Architecture

Baxter

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Salary
$128k – $176k
Location
ILBT11 - Deerfield, United States of America
Workplace
Hybrid
Type
Full-time
Department
Engineering
Experience
5+ years
Education
Master
Visa
Not sponsored
Source
Workday

Description

This is where your work makes a difference.

At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond.

Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results.

Here, you will find more than just a job—you will find purpose and pride. 

Your Role at Baxter


As an Architect on Baxter's IT Data Architecture team, you will play a key role in designing and building the data services, pipelines, and application architecture that enable secure, scalable access to information across the enterprise. This role will help drive the continued evolution of Mosaic, a critical internal platform used by teams across Baxter, through the development of new capabilities, integrations, and innovative technical solutions.


You will join a highly technical team focused on modern architecture, cloud technologies, and enterprise data solutions. This is an excellent opportunity for a hands-on architect who enjoys solving complex technical challenges, learning new technologies quickly, and building solutions that have broad organizational impact. Success in this role will be measured by your ability to quickly ramp up on the Mosaic platform, contribute meaningful enhancements within your first few months, and deliver new features into production that create value for Baxter's internal customers.


This is a hybrid role based in Deerfield, IL.


What you'll be doing


• Design and implement data pipelines, APIs, and endpoints that provide secure and scalable access to enterprise data.

• Develop and enhance Mosaic platform capabilities using Python, SQL, Neo4j, Unix, and modern software development practices.

• Design and implement microservices and architectural solutions that improve system scalability, reliability, and performance.

• Build and maintain RESTful services that enable efficient access to data and support enterprise applications across Baxter.

• Leverage Docker and containerization technologies to improve portability, deployment, and operational efficiency.

• Partner with business and technical stakeholders to gather requirements and translate them into scalable technical solutions.

• Ensure data privacy, security, and governance requirements are incorporated into application and architecture decisions.

• Evaluate emerging technologies, AI tools, and machine learning capabilities to drive continuous innovation across the platform.


What you'll bring


• Bachelor's degree in Computer Science, Data Analytics, Information Systems, Software Engineering, or a related technical field.

• 5+ years of experience in endpoint development, data engineering, software engineering, or architecture, with experience designing and implementing enterprise-scale applications and services.

• 5+ years of experience working with AWS, Azure, Google Cloud Platform, or a comparable cloud computing environment.

• Strong hands-on experience with Python, Flask, gUnicorn, SQL, Neo4j, Unix/Linux, and RESTful API development.

• Experience with Docker, Redis, microservices, architectural patterns, and distributed application development; experience with JavaScript, Node.js, UI/UX development, or equivalent technologies is a plus.

• Strong understanding of data privacy, security, governance principles, and modern application architecture.

• Excellent communication, collaboration, critical-thinking, and problem-solving skills, with the ability to adapt quickly to new technologies and changing priorities.

• Preferred qualifications include a Master's degree in Computer Science, Data Analytics, or a related field with 12+ years of experience, or a Bachelor's degree with 15+ years of experience; experience with machine learning and predictive modeling; AWS certification; and architecture-related certifications.


Baxter is committed to supporting the needs for flexibility in the workplace. We do so through our flexible workplace policy which includes a required minimum number of days a week onsite. This policy provides the benefits of connecting and collaborating in-person in support of our Mission. The flexible workplace policy is subject to local laws and legal requirements. At its discretion, Baxter may decide to adjust, suspend, or discontinue as business needs change.


We understand compensation is an important factor as you consider the next step in your career. At Baxter, we are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. The estimated base salary for this position is $128,000 -$176,000. The estimated range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on upon location, skills and expertise, experience, and other relevant factors. This position is also eligible for discretionary bonuses. For questions about this, our pay philosophy, and available benefits, please speak to the recruiter if you decide to apply and are selected for an interview.


Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

US Benefits at Baxter (except for Puerto Rico)

This is where your well-being matters. Baxter offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Baxter US Benefits, please speak with your recruiter or visit our Benefits site: Benefits | Baxter

Equal Employment Opportunity

Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.

Know Your Rights: Workplace Discrimination is Illegal

Reasonable Accommodations

Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information.

Recruitment Fraud Notice

Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.

Skills

PythonJavaScriptNode.jsFlaskAWSAzureDockerLinuxSQLRedisMachine LearningData EngineeringMicroservices

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