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Cloud Engineer
- Insight Global (Seatac, WA)
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Job Description
We are seeking a highly experienced Senior Azure Data Platform Engineer with a strong background in building and operating large-scale Enterprise Data, Analytics, and AI platforms. The ideal candidate possesses deep expertise in Infrastructure as Code (IaC)—primarily Terraform—along with proven DevOps expertise and solid programming skills in Python and SQL.
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 [email protected] 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
• 5+ years of Azure engineering experience, with a strong focus on infrastructure for large-scale Data/Analytics/ML environments.
• Expert-level Terraform skills, including building, governing and implementing best practices of IaC.
• Deep understanding of Azure services commonly used in enterprise data platforms, such as:
• Storage Accounts, Data Lake, Key Vault
• Azure Databricks, Azure Data Factory
• Service Bus, Event Hub, API Management
• Azure Functions, AKS (preferred), Container Apps
• Strong foundational knowledge of Azure core infrastructure:
• Networking: VNet design, Private Endpoints, VNet Peering, ExpressRoute, APIM and DNS.
• Security: IAM, RBAC, Managed Identities, Conditional Access, and Policy enforcement.
• Operations: Load Balancing, Resiliency patterns, and DR strategies.
• Experience designing enterprise monitoring solutions (metrics, logs, traces, dashboards) and defining SLI/SLOs.
• Familiarity with data platform patterns, including the "Medallion" architecture (Bronze/Silver/Gold).
• Hands-on experience with CI/CD pipelines and orchestration via Azure DevOps or GitHub
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