Hiring Immediately - Azure DevOps / Data Platform Engineer in (LATAM/Brazil, US EST Shift)Technical Skills- Azure DevOps pipelines, Git repos, artifact management- Terraform, IaC governance patterns- Azure Data Lake Storage Gen2, hierarchical namespace, ACL models- Azure Data Factory, Databricks, Synapse, Spark- Azure Functions, Key Vault, networking (VNets, private endpoints, firewalls)- Monitoring stacks: Log Analytics, Application Insights, Azure Monitor- Scripting: PowerShell, Python, Bash- Security controls: RBAC, managed identities, secrets management, encryption- CI/CD patterns, release strategy design, automated testing frameworks- Jira, Confluence, ServiceNowSupport: US EST (Mon-Fri 9:00am-5:00pm)(Best Fit)Roles and Responsibilities- Architect and maintain CI/CD pipelines for Data Lake components: Data Factory, Databricks, Functions, Synapse, Spark workloads, storage configurations.- Implement Infrastructure-as-Code with Terraform for provisioning storage accounts, networking, compute, identity, and security layers.- Enforce branching discipline, artifact integrity, automated testing, and controlled release gates.- Automate environment provisioning, ACL management, key rotation, lifecycle policies, and cluster configuration.- Integrate DevOps processes with enterprise security: RBAC, managed identities, Key Vault, private networking, encryption controls.- Build observability: logging, metrics, alerting, dashboards for pipelines and platform components.- Maintain backup, restoration, disaster-recovery patterns and test them for reliability.- Eliminate configuration drift through standardized templates and environment baselines.- Maintain and optimize agents, service connections, and deployment runtimes.- Perform incident response and root-cause analysis, document systemic fixes.- Deliver reusable automation modules for data engineering teams.- Optimize workload performance and cost within the Data Lake environment.- Ensure compliance with governance, audit requirements, and data protection mandates.- Drive continuous reduction of manual operational work through automation.