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Urgent! Data Architect – Azure & Databricks (Cloud Migration Project) - Hybrid - Ann Arbor, MI Job Opening In Ann Arbor – Now Hiring Conexess Group, LLC

Data Architect – Azure & Databricks (Cloud Migration Project) Hybrid Ann Arbor, MI



Job description


Job Title: Data Architect – Azure & Databricks (Cloud Migration)


Location: Ann Arbor, MI – Hybrid – Monday – Thursday on-site



About the Role:

As our client migrates its enterprise data platforms to the cloud, we're seeking a seasoned Data Architect to lead the design and development of a scalable, high-performance Azure-based data ecosystem.

In this role, you'll architect solutions that power everything from real-time delivery tracking to predictive ordering models, ensuring our data platform continues to support innovation and growth.



Key Responsibilities:

  • Architect and implement large-scale cloud data solutions on Microsoft Azure and Databricks.
  • Lead the migration of complex on-premises data environments to a modern cloud platform.
  • Develop data models, pipelines, and frameworks to support real-time analytics, AI/ML, and advanced reporting.
  • Partner with engineering, analytics, and business teams to translate requirements into robust technical solutions.
  • Ensure compliance with data governance, security, and performance standards across all solutions.
  • Optimize data workflows to handle high transaction volumes and large-scale data processing.


  • Required Qualifications:
  • + years of experience designing and developing enterprise-scale data architectures.
  • Proven, hands-on expertise in Microsoft Azure data services and Databricks.
  • Strong background in data modeling, SQL, and ETL/ELT pipeline design.
  • Experience with large-scale cloud migrations and modern data platform architectures.
  • Deep understanding of data governance, performance optimization, and security in the cloud.


  • Preferred Qualifications:
  • Experience with Azure Synapse Analytics, Azure Data Factory, or Azure Data Lake Storage.
  • Familiarity with real-time streaming data tools (Kafka, Event Hubs, etc.).
  • Prior experience in high-volume, customer-facing industries such as retail, QSR, or e-commerce.


  • Required Skill Profession

    Computer Occupations



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