Global KTech

Key Responsibilities:

• 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.
• Review of automate infrastructure provisioning through Infrastructure as Code (IaC) to support CI/CD pipelines.
• Act as the "Gate-Keeper" for any request received from solution and product teams by evaluating and validating the ask for the platform service requests.
• Evaluate requirements to ensure, if the existing platform is capable of supporting new requirements (including any performance requirements) and suggest any tech stack and services
• Architect and implement AI platforms that support machine learning, deep learning, and data science workflows.
• Evaluate and POC on the new services available in the market and help introducing into the client environment.
• Exposure on integrating AI tools, Services 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 knowledge in tools functionality and services of Databricks, Synapse, Data Factory, Cosmos DB, Function Apps, SQL DB, ADLS Gen2, and Git.
• Experience with Infrastructure as Code tools (Terraform, or similar).
• Solid grasp of data architecture. Exposure to APIs, microservices and scripting languages like Python or Scala; scripting knowledge with PowerShell or Bash would be plus.
• 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):

• Development experience with Azure tools and technology

• Exposure to Azure DevOps, Power BI, APIM, Logic Apps, and AI/ML tooling.
• experience with data governance, platform monitoring, disaster recovery, and scalability optimization.

Role: Platform Architect Azure

Location: Grand Rapids, MI (Onsite)

Duration: 12 months

Job Type: Contract

Pay: $50.00 - $55.00 per hour

Experience:

• Azure services: 6 years (Required)
• Databricks, Data Factory, Synapse: 6 years (Required)

Ability to Commute:

• Grand Rapids, MI 49516 (Required)

Work Location: In person