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).