Data Infrastructure Engineer

Siemens Healthineers

full-time

Posted on: 9/26/2025

Location: 🇺🇸 United States

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Mid-LevelSenior

AzureCloudDockerKubernetesMongoDBPythonSparkTerraformVault

About the role

Design, implement, and maintain data infrastructure leveraging Azure, Databricks, and MongoDB.
Manage and optimize Azure resources (ADLS, Blob Storage, Azure Kubernetes Service, networking, Key Vault, Private Endpoints, Vnets, etc.) for scalable and secure data operations.
Deploy and maintain Databricks clusters, jobs, and pipelines with a focus on performance tuning and cost optimization.
Operate and scale MongoDB (on Azure or Atlas), including schema design, indexing, sharding, and replication strategies.
Build and automate infrastructure-as-code (IaC) solutions using tools such as Terraform, Bicep, or ARM templates.
Support a managed Snowflake environment and associated transformation tooling like dbt and integrations with AzureDevOps.
Ensure compliance with security, governance, and data residency requirements in a cloud environment.
Implement monitoring, alerting, and observability solutions for proactive infrastructure management.
Support disaster recovery, backup, and incident response processes.
Maintain documentation about the deployed infrastructure and coordinate project deployments to align with the overall architecture and current and future requirements.
Collaborate with other developers, architects, development teams and stakeholders.

Master's degree in computer science, computer engineering, management information systems, related discipline or equivalent experience in data infrastructure or cloud engineering
Strong expertise with Azure cloud services, including networking, storage, and security
Hands-on experience with Databricks (cluster management, Delta Lake, Spark optimization)
Proficiency in MongoDB administration and scaling (performance tuning, high availability, ckups)
Experience with IaC tools (Terraform, Bicep, ARM) for reproducible infrastructure deployments
Proficiency in scripting and automation (Python, PowerShell, Bash)
Experience with CI/CD practices for infrastructure and data pipelines
Experience with Azure DevOps or GitHub Actions for deployment automation
Familiarity with container orchestration (AKS, Kubernetes, Docker)
Experience supporting Snowflake environments and transformation tooling like dbt
Ensure compliance with security, governance, and data residency requirements in a cloud environment
Experience implementing monitoring, alerting, and observability solutions
Experience with disaster recovery, backup, and incident response processes
Strong collaboration skills; ability to work with developers, architects, development teams and other stakeholders