Job Description Insight Global is looking for a Platform Engineer to join on of our clients. This role is responsible for building, operating, and continuously improving a secure, reliable, and automated cloud data platform with Microsoft Azure and Databricks as mandatory technologies. The position blends DevOps and platform administration, focusing on infrastructure automation, containerized runtime operations, identity/access governance, and observability. Success is defined by stable platform operations, repeatable deployments, strong security controls, and fast incident detection and resolution across the Azure and Databricks ecosystem. This is a long term contract, sitting 4x days onsite in St. Louis, MO. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements • 6+ years experience in DevOps and platform administration in Azure cloud environments. • Hands-on expertise with Kubernetes, Terraform, Helm, Docker, and CI/CD tooling (Azure DevOps and/or GitHub Actions). • Strong understanding of cloud-native architectures and container orchestration concepts and operations. • Experience with Databricks, Azure Data Factory, Airflow, Azure Data Lake, and related data engineering/platform tools. • Proficiency implementing and managing RBAC/IAM in Azure and cloud environments. • Solid experience with Active Directory and AD group management for access control. • Familiarity using Dynatrace for monitoring, performance analysis, and incident management. • Experience with Azure Key Vault for secrets management and key handling. • Strong scripting skills in Python, PowerShell, Bash, or similar. • Experience standardizing multi-environment (dev/test/prod) release governance and approval workflows. • Experience implementing policy-as-code and compliance guardrails (where applicable). • Prior ownership of operational metrics such as deployment frequency, change failure rate, and mean time to recovery (MTTR).