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# Data Engineer - Infrastructure & Data Engineering

- **Company:** Falcon
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Microsoft Azure, Cloud Computing, Information Engineering, Data Infrastructure, Github, Python (Programming Language), Infrastructure as Code (IaC), Terraform, Key Vault, Databricks
- **Published:** September 29, 2026
- **Apply:** https://computerjobs.com/us/en/mob/job/DF6EF3C817F79CBBBA

## About the Role

* Strong hands-on experience with Microsoft Azure infrastructure, including Entra ID, Key Vault, networking and storage.
 * Hands-on Azure Databricks experience, particularly Unity Catalog, workspace, cluster and job management.
 * Strong Terraform/Infrastructure as Code experience, ideally across multiple environments.
 * Strong Python development experience for automation and platform tooling.
 * Experience building and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions or similar.
 * Good understanding of data platform governance and cost management.
 * Comfortable working across both cloud infrastructure and data engineering environments.

Key Technologies

Azure | Azure Databricks | Unity Catalog | Terraform | Python | Azure DevOps | GitHub Actions | Entra ID | Key Vault | Azure Networking | Azure Storage

Nice to Have

 * Experience with Medallion Architecture (Bronze/Silver/Gold).
 * Exposure to FinOps, Azure/Databricks cost optimisation or cost attribution.
 * Experience with .NET is an advantage.
 * Working knowledge of SQL.

## Description

* Design, build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions or similar tools.
 * Develop and maintain Terraform Infrastructure as Code (IaC) for Azure services and Azure Databricks.
 * Support and manage Azure Databricks, including Unity Catalog, workspaces, clusters and jobs.
 * Develop Python-based automation and platform tooling.
 * Build reusable modules and libraries to support data engineers and platform users.
 * Support platform governance, monitoring, provisioning and cost management.
 * Troubleshoot infrastructure, connectivity, authentication and pipeline issues.
 * Work closely with Data Engineering, Security and Infrastructure teams to deliver platform capabilities.
 * Maintain technical documentation and contribute to platform standards and best practices.


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