Senior Staff Software Engineer – Data Platform

Thermo Fisher Scientific is seeking a senior staff-level database architect for its healthcare SaaS platform. The role designs and manages secure, scalable, compliant database systems, handling sensitive healthcare data while supporting high performance, multi-tenancy, and regulatory requirements.

Responsibilities:

• Design and implement secure, scalable, multi-tenant database architectures for healthcare SaaS applications
• Develop data models and storage solutions for sensitive healthcare data (PHI, PII/PPI)
• Ensure compliance with HIPAA, HITECH, GDPR, and other relevant regulations
• Implement data encryption (at rest and in transit), masking, and access controls
• Architect systems for high availability, disaster recovery, and auditability
• Define and enforce data governance, retention, and audit logging policies
• Optimize database performance for large-scale healthcare datasets and real-time access
• Collaborate with security, compliance, and engineering teams to meet regulatory requirements
• Lead data migration and integration with EHR/EMR systems and third-party healthcare platforms
• Comply best practices for secure CI/CD pipelines involving database changes
• Monitor systems for data integrity, breaches, and anomalous access patterns

Requirements:

• Bachelor's or Master's degree in Computer Science, Information Systems, or related field
• 10+ years of progressive industry experience in enterprise technology, architecture, and systems management
• 7+ years of experience in database architecture, preferably in SaaS environments
• Prior experience building data pipelines using SSIS, Azure Data Factory or similar
• Strong experience with data lake architectures (e.g., AWS S3, Azure Data Lake, Google Cloud Storage)
• Proven experience designing or managing data farm / distributed data platforms (e.g., Hadoop, Spark, Databricks ecosystems)
• Hands-on experience handling sensitive data (PHI, PII/PPI) in regulated environments
• Strong knowledge of HIPAA compliance, data privacy, and security frameworks
• Expertise in relational databases (PostgreSQL, MySQL, SQL Server) and non-relational systems such as Cosmos DB, MongoDB
• Experience with cloud platforms (AWS, Azure, GCP), especially healthcare-compliant services
• Proficiency in data encryption, key management, and role-based access control (RBAC)
• Strong understanding of scaling strategies and distributed systems
• Must be legally authorized to work in the United States without sponsorship
• Experience working with EHR/EMR systems (e.g., Epic, Cerner) or healthcare integrations (HL7, FHIR)
• Familiarity with healthcare data standards and interoperability frameworks
• Experience with audit logging, compliance reporting, and risk assessments
• Certifications such as AWS Certified Security Specialty, Certified HIPAA Professional (CHP)
• Experience with containerization (Docker, Kubernetes)