More jobs:
Azure Data Architect
Job in
Green Bay, Brown County, Wisconsin, 54311, USA
Listed on 2026-02-28
Listing for:
Medix™
Full Time
position Listed on 2026-02-28
Job specializations:
-
IT/Tech
Data Engineer, Cloud Computing
Job Description & How to Apply Below
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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