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Principal Solution Architect

Job in Eagan, Dakota County, Minnesota, USA
Listing for: LOGI SOLVE LLC
Part Time position
Listed on 2026-01-16
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Job Description & How to Apply Below

Logisolve is seeking a Principal Solutions Architect who is responsible for ensuring that data solutions are designed and implemented in a way that supports the company’s long-term goals.

Hybrid-2 days per week, Eagan, MN

Contract to hire: Salary:$115-195, 600K + bonus

Logisolve offers medical, dental, vision, life insurance, short-term disability, long-term disability, paid sick leave, and retirement benefits to eligible employees.

  • Promote and support the use of cloud computing architecture and recommend the best cloud technology for building secure, reliable, cost-efficient, high-performance, and operationally sound applications for the Enterprise Data Platform on Amazon Web Services (AWS).
  • Drive solutions with alignment to the enterprise strategy and enterprise architecture roadmap, collaborating with program and project managers, product owners, and enterprise architects.
  • Mentor and coach delivery teams on reusable pattern designs and configurable frameworks, ensuring the effective execution of technology-driven business solutions across initiatives.
  • Translate business information and technical requirements into an architectural blueprint that outlines solutions to achieve business objectives.
  • Own the principles and services used to develop a technical cloud strategy, oversee cloud migration efforts, examine workload architectures, and provide guidance and recommendations on addressing high-risk issues.
  • Design configurable frameworks and identify patterns for building robust data pipelines.
  • Stay up to date with the best practices of AWS services and solutions and industry trends.
  • Present findings, recommendations, and proof of concepts (POC) to the team, leadership, and stakeholders.
  • Oversee and consult on project and foundational data analysis, data design and modeling, and architectural reviews while ensuring quality and compliance to the enterprise data strategy.
  • Research and maintain awareness of current and emerging process, policy, and technology solutions related to Information Technology and overall strategy.
  • Mentor and educate others in data architecture principles through the project development life cycle.

Required Skills

  • 7+ years of related professional experience. All relevant experience including work, education, transferable skills, and military experience will be considered.
  • Expertise in designing complex to highly complex application programs and systems.
  • Strong understanding of the complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools.
  • Strong database, data warehouse, and data processing skills.
  • Conceptual knowledge of common BI and data exploration tools (e.g., SAS, Power BI, SQL).
  • Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g., Amazon AWS) and its security architecture.
  • Excellent oral and written communication and presentation skills, with strong hands-on communication, facilitation, collaboration, and leadership skills.
  • Ability to effectively interact with leadership and management, peers, business partners, and vendors.
  • Creative, critical, and analytical thinking, decision-making, and problem-solving skills.
  • Strong skills in influencing and motivating individuals and teams, with the ability to influence stakeholders in the decision-making process.
  • Familiarity with licensing, contracting, and pricing structures for software and vendor solutions.
  • AWS Solution Architect certification.
  • High school diploma (or equivalency) and legal authorization to work in the U.S.
  • Bachelor’s Degree in Computer Science, Information Technology, or Engineering
  • Healthcare experience highly preferred
  • Other certifications (e.g., Data Modeling and Data Warehousing).
  • Knowledge of data integration tools and technologies (e.g., Glue).
  • Knowledge of orchestration tools like Stonebranch, Airflow, etc.
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