Lead Cloud Operations Database Architect

About Signant Health

At Signant Health, we help bring life‑changing treatments to patients faster. We are a global evidence generation company that supports clinical trials with smart technology, scientific expertise, and hands‑on operational support — so better data leads to better decisions in healthcare. We embrace AI and advanced technologies to enhance every aspect of what we do, from data analysis to operational efficiency.

Our teams work at the intersection of science, technology, and patient experience, delivering digital solutions powered by AI innovation that make clinical trials more efficient, more accurate, and more accessible around the world. Trusted by leading pharmaceutical companies and CROs, our platforms and services support studies across more than 90 countries and have contributed to hundreds of new drug approvals.

If you are motivated by meaningful work, global impact, and innovation in clinical research and digital health — including the opportunity to work with cutting‑edge AI technologies — you will find purpose and opportunity at Signant Health.

We are seeking a highly experienced Lead Cloud Operations Database Architect to design, implement, and govern enterprise data architecture supporting regulated clinical research systems. This role owns all database‑related aspects across Microsoft Azure and AWS cloud environments, ensuring performance, security, scalability, and compliance with GxP, FDA 21 CFR Part 11, and ICH‑GCP regulations.

The ideal candidate brings deep technical expertise across MS SQL, Azure SQL, AWS RDS, and Cloud SQL in high‑volume production environments, paired with strong leadership in data governance, architecture design, and lifecycle management for mission‑critical clinical trial platforms.

• Architecture & Design
• Design and maintain enterprise‑scale data architectures supporting clinical trial systems
• Ensure high availability, scalability, resilience, and security across Azure and AWS environments
• Database Administration & Operations
• Own database setup, configuration, backup/recovery, replication, and performance tuning
• Support MS SQL Server, Azure SQL, AWS RDS, and Cloud SQL in production environments
• Regulatory Compliance
• Establish and enforce database procedures aligned with GxP and FDA regulations
• Partner with QA/Compliance teams to support audits, validation, and inspections
• Security & Data Integrity
• Implement access controls, encryption, monitoring, and logging to protect sensitive clinical and patient data
• Automation & Dev Ops Integration
• Automate provisioning, patching, and schema deployments using CI/CD and IaC
• Work with tools such as Terraform, Open Tofu, ARM templates, and AWS Cloud Formation
• Cross‑Functional Leadership
• Collaborate with Engineering, Project Management, and Compliance teams to align enterprise data strategies
• Monitoring & Optimization
• Implement proactive alerting, capacity planning, and performance optimization
• Documentation & Standards
• Maintain architecture diagrams, SOPs, and technical documentation to support audits and validation

• Bachelor’s degree in Computer Science, Information Systems, or related field (Master’s preferred)
• 10+ years of experience in database architecture/administration
• 5+ years of cloud experience across Azure and AWS
• Deep expertise in MS SQL Server, Azure SQL Database, and AWS RDS
• Proven experience supporting regulated (GxP / FDA) environments
• Strong understanding of data security, governance, and compliance in life sciences or healthcare
• Hands‑on experience with IaC, monitoring platforms (Cloud Watch, Azure Monitor), and automation scripting (Power Shell, Python, or Bash)
• Strong communication skills and the ability to partner with cross‑functional technical and clinical teams

• Experience integrating with clinical data systems (CDMS, EDC, LIMS)
• Familiarity with Snowflake, data lakes, and ETL/ELT pipelines
• Cloud certifications such as Azure Database Administrator or AWS Database Specialty

• Strategic, system‑level thinking
• Strong data integrity and compliance mindset
• Technical leadership and mentoring capability
• Analytical problem‑solving
• Effective cross‑team…