Overview
Hybrid
$60 - $65
Contract - W2
Contract - 12 Month(s)
Skills
Azure
ADF
Databricks
Data factory
Python
SQL
ML
Terraform
Job Details
Hello Everyone,
Hope you are doing great.
Azure Architect
Grand Rapids, MI hybrid onsite (Mon- Wed)
Top Skills' Details
1. 3-5 years supporting Databricks and Azure Data Factory
2. 3-5 years working as a Platform Architect deploying Azure using Terraform or other IaC tools
3. 3-5 years in Azure Ecosystem Knowledge - this team operates at the intersection of multiple teams enabling and scaling services across areas.
Primary Skills:
Azure infrastructure administration with strong hands-on knowledge in Databricks, Synapse, Data Factory, Cosmos DB, Function Apps, SQL DB, ADLS Gen2, and Git.
Experience with Infrastructure as Code tools (Terraform, or similar).
Coding proficiency in Python or Scala; scripting knowledge with PowerShell or Bash is a plus.
Solid grasp of data architecture, APIs, and microservices.
Understanding of version control systems (e.g., Git) and infrastructure testing practices.
Good understanding of AI and ML platform architecture and relevant frameworks.
Additional Skills & Qualifications Secondary Skills (Good to Have):
Exposure to Azure DevOps, Power BI, APIM, Logic Apps, and AI/ML tooling.
experience with data governance, platform monitoring, disaster recovery, and scalability optimization.
Azure infrastructure administration with strong hands-on knowledge in Databricks, Synapse, Data Factory, Cosmos DB, Function Apps, SQL DB, ADLS Gen2, and Git.
Experience with Infrastructure as Code tools (Terraform, or similar).
Coding proficiency in Python or Scala; scripting knowledge with PowerShell or Bash is a plus.
Solid grasp of data architecture, APIs, and microservices.
Understanding of version control systems (e.g., Git) and infrastructure testing practices.
Good understanding of AI and ML platform architecture and relevant frameworks.
Additional Skills & Qualifications Secondary Skills (Good to Have):
Exposure to Azure DevOps, Power BI, APIM, Logic Apps, and AI/ML tooling.
experience with data governance, platform monitoring, disaster recovery, and scalability optimization.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.