Overview
Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our environment fosters a global community that celebrates diversity and individuality, offering resources and flexibility to support your professional and personal growth, while valuing your unique contributions.
In this role, you are part of our Customer Service Data development team. You participate in the design and development of the custom machine analytics platform that enables Field Service engineers and Customers worldwide to gain insights and data about their machines. This role is suitable for a passionate data infrastructure engineer with a vision for the future of data-enabled devices and a deep understanding of data structures, Azure infrastructure, Databricks, and Snowflake. You work collaboratively with other developers, architects, development teams and stakeholders.
Responsibilities
* 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.
Qualifications
* 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, backups).
* 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).
About the Organization
Siemens Healthineers is a global leader in medical technology, with a presence in more than 70 countries and a committed team delivering outcomes and experiences for patients worldwide. We foster collaboration across diverse backgrounds to pioneer breakthroughs in healthcare. For more information, please visit our company page.
Equal Opportunity and Privacy
As an equal opportunity employer, we welcome applications from individuals with disabilities.
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