Data Platform Engineer

• Design, build, and continuously improve reusable platform capabilities for data ingestion, orchestration, access management, automation, and governance across Azure and Snowflake.
• Provision and manage cloud infrastructure using Infrastructure as Code (Terraform), ensuring consistency, scalability, security, and operational readiness.
• Maintain and optimize Kubernetes environments supporting Airflow orchestration, including upgrades, capacity management, monitoring, and reliability improvements.
• Develop and manage Azure DevOps repositories, pipelines, and CI/CD frameworks to enable secure, controlled, and automated platform delivery.
• Build and support Azure Data Factory (ADF) integration and ingestion pipelines using standardized, reusable, and production-ready patterns.
• Implement and enforce RBAC models, security controls, audit requirements, and compliance guardrails across platform services.
• Drive operational excellence through platform monitoring, incident management, root-cause analysis, automation, and continuous improvement initiatives.
• Partner with stakeholders across Data, Infrastructure, Security, Enterprise Architecture, and business teams to deliver scalable platform solutions and adoption frameworks.

What We’re Looking For:

• Proven experience in platform engineering, cloud infrastructure, DevOps, or data platform engineering roles within enterprise environments.
• Strong hands-on experience with Microsoft Azure services and Infrastructure as Code (Terraform), including deployment automation and environment management.
• Experience managing Kubernetes environments and workflow orchestration platforms such as Apache Airflow.
• Solid expertise in Azure DevOps, CI/CD pipeline design, Git-based development practices, and release management.
• Experience building and supporting data integration and orchestration solutions using Azure Data Factory (ADF) and related Azure data services.
• Strong understanding of Snowflake platform administration, provisioning, security models, and operational best practices.
• Experience implementing RBAC frameworks, security controls, compliance requirements, and governance standards in cloud environments.
• Proficiency in Python scripting and automation for platform operations, monitoring, and workflow management.
• Strong analytical and problem-solving skills with the ability to troubleshoot complex technical issues and drive sustainable solutions.
• Excellent stakeholder management, communication, and collaboration skills, with the ability to work effectively across global and cross-functional teams.
  • Fluent English communication skills, both written and verbal.