2 months ago
Remote, EMEASenior
Responsibilities
- Design and implement Microsoft Fabric platform foundations, including capacities, workspaces, OneLake, environment structures, and platform configuration.
- Establish and manage DEV, TEST, and PROD environments and deployment strategies.
- Implement Infrastructure as Code using Terraform and other automation technologies.
- Build and maintain CI/CD pipelines using Azure DevOps and/or GitHub.
- Implement security, identity, and access controls using Microsoft Entra ID and RBAC.
- Integrate Microsoft Fabric with Azure services and broader cloud platforms.
- Develop reusable automation and deployment patterns for consistency and scalability.
- Support monitoring, logging, operational readiness, and platform governance.
- Collaborate with Data Engineering teams to enable workloads and remove platform barriers.
- Produce technical documentation, standards, and operational runbooks.
- Provide technical leadership and guidance on Fabric platform architecture and engineering practices.
Requirements
- At least 5 years of Azure Cloud Engineering experience.
- A degree in Computer Science, Information Technology, Engineering, or a related field.
- Hands-on experience with Microsoft Fabric and its core platform components, including capacities, workspaces, and OneLake.
- Strong Terraform and Infrastructure as Code experience.
- Experience with Azure DevOps and/or GitHub CI/CD pipelines.
- Experience implementing Microsoft Entra ID, RBAC, and cloud security controls.
- Experience designing and managing Fabric environments across DEV, TEST, and PROD.
- Strong understanding of cloud networking, security, governance, and operational best practices.
- Experience automating cloud platforms using PowerShell and/or Python.
- Experience working within enterprise cloud environments and understanding how data workloads consume cloud infrastructure.
- Experience establishing Microsoft Fabric platforms from the ground up, using Fabric REST APIs, integrating Fabric with Azure services, and working with data ingestion or notebook-based Fabric solutions is advantageous.
- Experience in regulated or governed cloud environments, FinOps, and cloud cost optimization is advantageous.
- Azure, Terraform, DevOps, or cloud platform certifications are advantageous.
About DVT
DVT is a South African technology services firm that builds custom software and supports AI, data engineering, testing, UX, and cloud projects. It provides consulting and staffed engineering teams for enterprises in South Africa and abroad, including work in banking and payments. Founded in 1999 and headquartered in Johannesburg, it is privately held and operates as a BEE Level 2 company.