Senior Data Architect

ventures unlimited inc • United State
Remote
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AI Summary

Design and implement data frameworks, manage enterprise data systems, and integrate new data technologies. 10+ years of experience in data ecosystems required. Bachelor's degree in Computer Science or related field.

Key Highlights
Design data frameworks
Manage enterprise data systems
Integrate new data technologies
Key Responsibilities
Design the vision and blueprint of the organization's data framework.
Perform data modeling and solution design activities.
Coordinate multiple data sources across the organization.
Technical Skills Required
SQL ETL pipelines Data architectures
Benefits & Perks
6+ months Contract
Location: Baton Rouge, LA (Fully Remote)
Nice to Have
Prior experience working with public health agencies (e.g., CDC, NIH, or State Departments of Health) to modernize legacy data infrastructures.

Job Description


Job Title: Data Architect

Location: Baton Rouge, LA ( Fully Remote)

Job Type: 6+ months Contract


Note: Candidate must be local to MD, VA and Washington DC.

Job description:

  • Design the vision and blueprint of the organization’s data framework.
  • Design and manage enterprise data systems, establish policies governing how data is stored and accessed, coordinate multiple data sources across the organization, and integrate new data technologies into existing IT infrastructure.
  • Perform data modeling and solution design activities, including support for software development and database administration.


Candidates must have expertise and/or relevant experience in the following areas:

  • 10+ years of professional experience working within data ecosystems, including writing advanced SQL queries, building ETL pipelines, and designing scalable data architectures.
  • Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Management Information Systems, Information Technology, or a related field.


Expertise and/or relevant experience in the following areas are desirable.

  • Prior experience working with public health agencies (e.g., CDC, NIH, or State Departments

of Health) to modernize legacy data infrastructures.


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