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Principal Database Engineer – Platform Engineer
Veradigm®. Own architecture, implementation, reliability, and lifecycle management of Veradigm’s database platform across multiple engines and cloud providers .
Tech Stack
Tools & technologiesAWSAzureCloudDynamoDBMongoDBMySQLPostgresPythonSQLTerraform
About the role
Key responsibilities & impact- Own architecture, implementation, reliability, and lifecycle management of Veradigm’s database platform across multiple engines and cloud providers
- Design database systems end-to-end, including engine and deployment-model selection, server and storage architecture, multi-cloud infrastructure, and high-availability and disaster-recovery posture
- Own 24×7 production reliability and serve as the final escalation point for major outages, complex performance incidents, and cross-team database issues
- Determine database architecture for new business use cases, including engine selection, deployment model, topology, sizing, integration patterns, and availability targets up to 99.99%
- Design and implement multi-cloud database infrastructure across AWS and Azure
- Author and review Terraform infrastructure-as-code for provisioning, configuration management, and lifecycle automation
- Oversee database security, integrity, and performance, including access controls, encryption, audit logging, HIPAA-aligned PHI protection, vulnerability management, and integrity validation
- Implement monitoring, observability, and alerting across database systems and cloud platforms
- Lead complex performance triage and database 911 response across product engineering teams
- Provide technical leadership for peers and delegate tasks for 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, including failover, replication, RPO/RTO planning, backups, point-in-time recovery, and restore drills
- Own concurrent database platform projects from concept to completion, including requirements, architecture, implementation, scheduling, deployment, testing, and handoff
- Serve as subject matter expert across database technologies, AWS, Azure, managed PaaS, and self-managed IaaS deployments
- Set technical direction for AI-augmented database operations, including LLM-assisted design, ML-driven anomaly detection, automated performance tuning, and natural-language operational tooling
- Work standard hours or assignment-defined hours; support on-call and after-hours work during peak periods
- Travel up to 10% as required
Requirements
What you’ll need- Bachelor's Degree or equivalent Technical / Business experience
- 10+ years relevant work experience; 2-3 years at the Expert level or equivalent experience - Preferred
- Expert knowledge of SQL Server, PostgreSQL, MySQL, MongoDB, DynamoDB, and Snowflake
- Expert knowledge of database performance monitoring, tuning, and triage
- Expert knowledge of T-SQL, PowerShell, Python, Bash, and Terraform
- Expert knowledge of multi-cloud database engineering across AWS and Azure
- Expert knowledge of database server, storage, and network architecture
- Expert knowledge of high-availability and disaster-recovery architectures supporting 99.99% availability
- Knowledge of change management principles
- Expert knowledge of project management
- Ability to collaborate with teams and receive constructive feedback
- Ability to provide partnership and consultation to product and engineering teams
- Up to 10% travel may be required
- May require after-hours, on-call support and/or holidays
- Applicants must be legally authorized to work in the United States or Canada
- Visa sponsorship is not offered
- Preferred certifications: ITIL Foundations; MTA Database Fundamentals; MCSA Database Administrator; Azure Fundamentals; Azure Data Fundamentals; Microsoft Certified Azure Data Engineer Associate
Benefits
Comp & perks- Holidays
- Vacation
- Medical insurance
- Dental insurance
- Vision insurance
- Company-paid life insurance
- Retirement savings
- Professional development support
- Remote work flexibility
- Flexible work arrangements
- Equal employment opportunity and affirmative action