Role : Azure Platform Architect
Location : Hybrid in Grand Rapids, MI
Duration : Long Term
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.