Azure Platform Architect

Overview

Hybrid
$60 - $80
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

azure

Job Details

Job Title: Azure Platform Architect/ Infrastructure Architect

Onsite Requirement/Remote (Time zone?): Hybrid Onsite role in Grand Rapids, requires candidates to be able to relocate to GR.

Requirements

3-5 Must Haves (need to be highlighted in sizzle & present on resume)

  • 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 Terraform or similar tools
  • Experience with Python or Scala

Job Description

We are seeking a multifaceted Azure Platform Architect who combines deep hands-on experience with cloud infrastructure administration, data architectures and knowledge of AI platforms.

Key Responsibilities:

Design and administer Azure services including Databricks, Data Factory, Synapse, Cosmos DB, Function Apps, SQL DB, ADLS Gen2, and Azure Fabric.

Define and implement enterprise-grade cloud infrastructure for data lakes and microservices, including performance monitoring, alerting, and code lifecycle management.

Design and automate infrastructure provisioning through Infrastructure as Code (IaC) to support CI/CD pipelines.

Architect and implement AI platforms that support machine learning, deep learning, and data science workflows.

Evaluate and integrate AI tools and frameworks, ensuring compatibility with enterprise systems and scalability requirements.

Collaborate with DevOps, Security, and Infrastructure teams to enforce secure and compliant development and deployment practices.

Drive enterprise governance initiatives, ensuring SLA adherence and resilient infrastructure (backup, DR, monitoring).

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.

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.