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Azure Data Architect

Job in Green Bay, Brown County, Wisconsin, 54311, USA
Listing for: Medix™
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Azure Data Architect - 249779

Location:
Remote with Travel to Green Bay and/or Minnesota Locations

Position Type: 100% Remote

SUMMARY

Our client is a food processing organization, looking to bring on an Azure Data Architect focused on designing scalable, secure, and high-performing data solutions across the organization. This person will be responsible for architecting data platforms, driving adoption of modern technologies, and ensuring alignment with organizational goals and standards. This role serves as a hands-on Data Architect who blends technical depth with strategic insight to shape data engineering, analytics, and AI/ML capabilities.

RESPONSIBILITIES

  • Design data architecture strategies for data and advanced analytics solutions using Azure Databricks.
  • Utilize Databricks Delta Lake based Lakehouse alongside DLT, PySpark Jobs, Databricks
  • Develop Workflows, Unity Catalog and Medallion architecture from the ground up.
  • Create and optimize Databricks clusters, notebooks, and workflows for ETL/ELT processes.
  • Integrate Databricks with other Azure services such as Azure Data Lake Storage (ADLS), Azure Data Factory, Azure Key Vault, and Microsoft Fabric.
  • Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions.
  • Provide technical guidance and best practices for Azure data technologies.
  • Develop, monitor, and troubleshoot data pipelines and workflows for reliability and efficiency.

QUALIFICATIONS

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
  • 7+ years of experience in data engineering, with at least 2 years in an architecture-focused or lead technical role.
  • Proven experience architecting enterprise cloud data platforms using Azure.
  • Experience with Databricks, Delta Lake, Lakehouse, etc.
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