Staff Engineer, Data Analytics Engineering

Key Responsibilities:

• Design, build, and operate scalable data and AI platform capabilities across cloud-native and hybrid environments, with a primary focus on Azure and exposure to AWS, ensuring reliability, security, and operational excellence.
• Build and maintain foundational platform services for data and analytics using Azure Databricks, ADLS Gen2, and supporting cloud services.
• Develop and manage Infrastructure-as-Code (IaC) and containerized platform components using Terraform, Docker, and Kubernetes fundamentals for repeatable, resilient deployments.
• Enable standardized, self-service platform patterns for data engineering, analytics, and AI teams.
• Integrate data platforms with AI platforms and model AI gateways, supporting secure, governed, and scalable AI access.
• Apply platform engineering and DevOps best practices through automation, CI/CD, and DataOps workflows using Python and scripting.