Principal Database Engineer; Platform Engineer

Job Overview

Owns architecture, implementation, reliability, and lifecycle management of Veradigm’s database platform across multiple engines and cloud providers. Designs new database systems end‑to‑end, from inception through production, including engine and deployment‑model selection, server and storage architecture, multi‑cloud infrastructure, and high‑availability and disaster‑recovery posture. Owns 24×7 production reliability and serves as the final escalation point for major outages, complex performance incidents, and cross‑team database 911s.

Acts as senior technical authority and subject matter expert across multiple database technologies (SQL Server, PostgreSQL, MySQL, MongoDB, DynamoDB, Snowflake) and AWS and Azure. Sets technical direction for major platform initiatives, including AI‑augmented database operations.

• Determine database architecture for new business use cases, including engine selection, deployment model (IaaS vs. PaaS), topology, sizing, integration patterns, and availability targets up to 99.99% (4 nines).
• Design and implement multi‑cloud database infrastructure across AWS and Azure, including server, storage, and network architecture tuned for top engine performance.
• Author and review database infrastructure‑as‑code (Terraform) for provisioning, configuration management, and lifecycle automation.
• Oversee the security, integrity, and performance of databases across the production estate, including access controls, encryption at rest and in transit, audit logging, HIPAA‑aligned PHI protection, vulnerability management, and database integrity validation.
• Implement monitoring, observability, and alerting across all database systems and cloud platforms, delegate alert response to team members, and audit incident resolution.
• Lead complex performance triage and 911 response across product engineering teams.
• Provide technical leadership for peers and delegate tasks for both major and minor projects.
• Independently implement and document enhancement requests.
• Review and approve technical design specifications.
• Design, audit, and test high‑availability and disaster‑recovery architectures engineered to meet 99.99% availability SLAs, including cross‑region failover, replication topology, RPO/RTO planning, immutable and air‑gapped backup architectures for ransomware protection, point‑in‑time recovery, and validated restore drills.
• Serve as final escalation point for database issues escalated by Database Engineers and partner engineering teams.
• Own multiple concurrent minor or major database platform projects from concept to completion, including requirements gathering, architectural design, implementation, task delegation, schedule creation, deployment, testing, and handoff of the technology solution to the business.
• Set technical direction for AI‑augmented database operations, including LLM‑assisted design, ML‑driven anomaly detection, automated performance tuning, and natural‑language operational tooling.

• Education:
  
  Bachelor’s Degree or equivalent. Master’s Degree preferred.
• Work Experience:
  
  10+ years relevant work experience; 2–3 years at Expert level or equivalent experience preferred.
• Certifications:
  
  ITIL Foundations, MTA Database Fundamentals, MCSA Database Administrator, Azure Fundamentals, Azure Data Fundamentals, Microsoft Certified Azure Data Engineer Associate.
• Knowledge, Skills and Abilities:
• Collaborative teamwork and constructive feedback from senior engineers.
• Excellent partnership and consultation to product and engineering teams.
• Expert knowledge of multiple database engines spanning relational (SQL Server, PostgreSQL, MySQL), document and key‑value stores (MongoDB, DynamoDB), and cloud data warehousing (Snowflake). Includes engine internals, configuration, and operational characteristics under production load.
• Expert knowledge of database performance monitoring, tuning, and triage at the engine, server, and storage layers across multiple platforms.
• Expert knowledge of database scripting and automation languages (T‑SQL, Power Shell, Python, Bash) and of infrastructure‑as‑code (Terraform) for database provisioning and lifecycle management.
• Expert knowledge…