Sr. Architect, IT-Data Architecture

Baxter•Deerfield, IL
•Hybrid

About The Position

Baxter Healthcare is seeking a senior data architect to design and implement data architecture for data pipelines and model data for databases that expose data to the enterprise. The role focuses on data architecture, SQL, data modeling, ETL/ELT, data warehousing, and database technologies. The architect advises data engineers, develops and maintains pipelines, collaborates with cross-functional teams, and helps ensure secure and effective use of data. The position follows Baxter’s flexible workplace policy, which requires a minimum number of onsite days per week; that policy may change based on business needs and applicable local requirements. The estimated annual base salary is $152,000 to $198,000. Individual pay depends on location and other factors. Applicants must be authorized to work for any employer in the United States; Baxter is unable to sponsor or assume sponsorship of an employment visa for this position.

Requirements

  • Bachelor’s degree in Computer Science, Data Analytics, or a related field.
  • Five years of experience in data modeling or data warehousing.
  • Five years of experience with AWS, Azure, or an equivalent cloud computing platform.
  • Strong background in SQL, ETL/ELT tools, data modeling tools, and relational database management systems (RDBMS).
  • Strong understanding of data architecture principles and patterns.
  • Excellent communication, collaboration, and critical-thinking skills.
  • Must be authorized to work for any employer in the United States; visa sponsorship is not available.

Nice To Haves

  • Master’s degree.
  • Experience with Unix, Linux, or equivalent.
  • Experience with data engineering or data pipeline development.
  • Experience with machine learning and predictive modeling.

Responsibilities

  • Design and implement data architecture for data pipelines.
  • Create and maintain data models that represent and optimize data for databases.
  • Advise data engineers on best practices for creating data pipelines.
  • Develop and maintain data pipelines that provide stakeholders with secure and efficient data access.
  • Collaborate with cross-functional teams to gather requirements and integrate data analytics into business operations.
  • Implement appropriate controls and protocols to ensure data privacy and security.
  • Stay current with emerging trends and technologies in data architecture.

Benefits

  • Medical and dental coverage starting on day one.
  • Basic life, accident, short-term disability, long-term disability, and business travel accident insurance.
  • Employee Stock Purchase Plan with the ability to purchase company stock at a discount.
  • 401(k) Retirement Savings Plan with employee contributions and company matching.
  • Flexible Spending Accounts.
  • Educational assistance programs.
  • Paid holidays.
  • Paid time off ranging from 20 to 35 days based on length of service.
  • Family and medical leaves of absence.
  • Paid parental leave.
  • Commuting benefits.
  • Employee Discount Program.
  • Employee Assistance Program.
  • Childcare benefits.
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