Principal Database Engineer (Platform Engineer)

Veradigm•Raleigh, NC

1d•Hybrid

About The Position

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 across AWS and Azure. Sets technical direction for major platform initiatives, including AI-augmented database operations Determines 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) — across SQL Server, PostgreSQL, MySQL, MongoDB, DynamoDB, and Snowflake. Designs and implements multi-cloud database infrastructure across AWS and Azure, including server, storage, and network architecture tuned for top engine performance. Authors and reviews database infrastructure-as-code (Terraform) for provisioning, configuration management, and lifecycle automation. Oversees 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. Implements monitoring, observability, and alerting across all database systems and cloud platforms, delegates alert response to team members, and audits incident resolution. Leads complex performance triage and 911 response across product engineering teams. Provides technical leadership for peers and delegates tasks for both major and minor projects. Independently implements and documents enhancement requests. Independently reviews and approves technical design specifications. Designs, audits, and tests high-availability and disaster-recovery architectures engineered to meet 99.99% (4 nines) 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. Serves as final escalation point for database issues escalated by Database Engineers and by partner engineering teams — including production 911 incidents, complex performance investigations, and cross-team database-rooted problems across the full Veradigm engineering organization. Independently owns 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. Independently owns and is subject matter expert in multiple database technologies and cloud platforms — including SQL Server, PostgreSQL, MySQL, MongoDB, DynamoDB, and Snowflake — and across managed (PaaS) and self-managed (IaaS) deployment models on both AWS and Azure. Sets technical direction for AI-augmented database operations, including LLM-assisted design, ML-driven anomaly detection, automated performance tuning, and natural-language operational tooling.

Requirements

Bachelor's Degree or equivalent Technical / Business experience
10+ years relevant work experience
Ability to work collaboratively with a team and receive constructive feedback from senior engineers
Ability to provide excellent partnership and consultation to product and engineering teams who may not have deep database expertise.
Expert knowledge of multiple database engines spanning relational (SQL Server, PostgreSQL, MySQL), document and key-value stores (MongoDB, DynamoDB), and cloud data warehousing (Snowflake), including 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, PowerShell, Python, Bash) and of infrastructure-as-code (Terraform) for database provisioning and lifecycle management.
Expert knowledge of multi-cloud database engineering across AWS and Azure, including managed database services (RDS, Aurora, Azure SQL, Cosmos DB, DynamoDB, Snowflake) and self-managed engine deployments on cloud compute.
Expert knowledge of database server and storage architecture tuned for engine performance — instance class and CPU/memory profile selection, NUMA awareness, OS-level tuning, IOPS planning, volume type selection, and network architecture.
Expert knowledge of designing database systems to high-availability SLAs of 99.99% (4 nines) and above, including cross-region failover automation, replication topology, RPO/RTO planning, ransomware-resilient backup architectures, and recovery validation.
Expert knowledge of change management principles and the ability act as a proactive change agent
Expert knowledge of project management

Nice To Haves

Masters Degree
2-3 years at the Expert level or equivalent experience
ITIL Foundations
MTA Database Fundamentals
MCSA Database Administrator
Azure Fundamentals
Azure Data Fundamentals
Microsoft Certified Azure Data Engineer Associate

Responsibilities

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 across AWS and Azure.
Sets technical direction for major platform initiatives, including AI-augmented database operations.
Determines 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) — across SQL Server, PostgreSQL, MySQL, MongoDB, DynamoDB, and Snowflake.
Designs and implements multi-cloud database infrastructure across AWS and Azure, including server, storage, and network architecture tuned for top engine performance.
Authors and reviews database infrastructure-as-code (Terraform) for provisioning, configuration management, and lifecycle automation.
Oversees 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.
Implements monitoring, observability, and alerting across all database systems and cloud platforms, delegates alert response to team members, and audits incident resolution.
Leads complex performance triage and 911 response across product engineering teams.
Provides technical leadership for peers and delegates tasks for both major and minor projects.
Independently implements and documents enhancement requests.
Independently reviews and approves technical design specifications.
Designs, audits, and tests high-availability and disaster-recovery architectures engineered to meet 99.99% (4 nines) 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.
Serves as final escalation point for database issues escalated by Database Engineers and by partner engineering teams — including production 911 incidents, complex performance investigations, and cross-team database-rooted problems across the full Veradigm engineering organization.
Independently owns 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.
Independently owns and is subject matter expert in multiple database technologies and cloud platforms — including SQL Server, PostgreSQL, MySQL, MongoDB, DynamoDB, and Snowflake — and across managed (PaaS) and self-managed (IaaS) deployment models on both AWS and Azure.
Sets technical direction for AI-augmented database operations, including LLM-assisted design, ML-driven anomaly detection, automated performance tuning, and natural-language operational tooling.