Data Architect

Siemens Healthineers

full-time

Posted on: 9/26/2025

Location: 🇺🇸 United States

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Mid-LevelSenior

AzureCloudSparkVault

About the role

Design and implement data architectures on Azure Databricks, Snowflake and Azure storage services to support global analytics at scale
Drive the migration from legacy data platforms to modern cloud-native solutions
Address challenges of multi-region, multi-storage account environments to ensure performance, resiliency and cost optimization
Embed data governance, security and compliance frameworks into all designs with focus on EU Data Act and other global regulations
Collaborate with Data Analysts, Business SMEs, Data Scientists and Data Engineers to support the design of data products and services
Establish best practices for data lifecycle management, disaster recovery, and monitoring in Azure
Work closely with Data Engineers and Data Analysts to get the architecture implemented
Design and architect around the technical capabilities and limitations of Azure, Databricks and Snowflake
Provide technical guidance on the adoption of emerging Azure services and features

Master's degree in computer science, computer engineering, management information systems, related discipline or equivalent experience
Strong expertise with Azure Databricks (Spark, Delta Lake, MLflow) and Snowflake on Azure
Hands-on experience with Azure storage services (ADLS Gen2, Blob Storage) in multi-region setups
Track record of migrating legacy data systems to modern cloud-native platforms
Experience in implementing cloud solutions on Azure
Experience working with Container Architectures on Azure
Experience with Snowflake and Databricks is a must
Strong understanding of cloud networking, identity, and security (Azure AD, RBAC, Key Vault, Private Endpoints, VNets)