Architect, IT Data Architecture
This is where
Your Role at Baxter
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)
Equal Employment Opportunity
Reasonable Accommodations
Recruitment Fraud Notice
Not included in the source posting: about the role, qualifications.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.