Siemens Healthineers

We pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

Data Architect

Data EngineerData EngineerFull TimeRemoteTeam 10,001+H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

167 days ago

Salary

Not specified

Postgraduate DegreeExperience acceptedEnglishAzureCloudSparkVault

Job Description

• 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 • Provide technical guidance on the adoption of emerging Azure services and features

Job Requirements

  • 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)
  • Strong experience with 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 implementing cloud solutions on Azure
  • Experience working with Container Architectures on Azure
  • Strong understanding of cloud networking, identity, and security (Azure AD, RBAC, Key Vault, Private Endpoints, VNets)
  • Experience collaborating with Data Analysts, Business SMEs, Data Scientists and Data Engineers
  • Snowflake and Databricks experience is a must

Benefits

  • Flexibility and resources to foster professional and personal growth
  • Professional development opportunities
  • Inclusive and diverse work environment
  • Remote work option (#LI-REMOTE)
  • Equal opportunity employer and accommodations for individuals with disabilities

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