Database Architect

• 7+ years as an Infrastructure Engineer or working in a similar function
• Define and own the target architecture and engineering strategy for modern database platforms across the enterprise
• Establish reference architectures, design patterns, and standards for document (Cockroach DB), in-memory (Redis) platforms
• Ensure architecture aligns with hybrid, multi-cloud, and sovereignty considerations
• Lead the creation of API-driven, self-service database platforms that abstract complexity from application teams
• Define and implement, service catalogs, golden deployment patterns, standardized provisioning workflows, reusable automation frameworks
• Drive adoption of Infrastructure as Code and platform-as-a-product principles
• Ensure the platform delivers, consistent developer experience, rapid provisioning, standardized configurations, built-in governance and controls
• Architect database services for enterprise-grade resilience, including multi-region/multi-site high availability, failover and disaster recovery strategies, backup/restore frameworks
• Lead performance engineering, including sharding and partitioning strategies, caching patterns (e.g., Redis integration), workload isolation and scaling models
• Define and enforce SLOs/SLAs and reliability benchmarks
• Introduce proactive capacity planning and performance optimization models
• Ensure deep integration with core infrastructure layers network (segmentation, routing, load balancing), compute (VM, bare metal, container orchestration), storage (block, file, object; performance tiers)
• Partner with infrastructure and cloud teams to optimize deployment models, standardize connectivity and security patterns, enable Kubernetes/operator-based database management

• Experience leading platform engineering or internal developer platform initiatives
• Experience in financial services or regulated enterprise environments
• Experience with Kubernetes operators for databases
• Knowledge of multi-cloud architectures and data sovereignty models
• Experience with observability platforms (Prometheus, Grafana, Splunk, etc.)
• Exposure to data governance and enterprise data architecture frameworks
• Platform thinking and product mindset
• Architectural leadership and systems design
• Deep database engineering expertise
• Strong stakeholder management and influence
• Automation-first mindset
• Cross-domain integration (infra, security, enterprise systems)

• Operates at a lead/architect level, bridging strategy and execution
• Can standardize and scale database services across a complex enterprise
• Balances engineering rigor with usability and developer experience
• Proactively identifies risks, gaps, and optimization opportunities
• Drives alignment across technology, operations, and governance domains

• Innovative Thinking
• Technical Strategy Development

Job Type: Full Time

Job Category: IT

Job Description

Database Architect

Charlotte, NC (Onsite)

FTE Only

-----Job Description------

Must Have Technical/Functional Skills

• 7+ years as an Infrastructure Engineer or working in a similar function
• Define and own the target architecture and engineering strategy for modern database platforms across the enterprise
• Establish reference architectures, design patterns, and standards for document (Cockroach DB), in-memory (Redis) platforms
• Ensure architecture aligns with hybrid, multi-cloud, and sovereignty considerations
• Lead the creation of API-driven, self-service database platforms that abstract complexity from application teams
• Define and implement, service catalogs, golden deployment patterns, standardized provisioning workflows, reusable automation frameworks
• Drive adoption of Infrastructure as Code and platform-as-a-product principles
• Ensure the platform delivers, consistent developer experience, rapid provisioning, standardized configurations, built-in governance and controls
• Architect database services for enterprise-grade resilience, including multi-region/multi-site high availability, failover and disaster recovery strategies, backup/restore frameworks
• Lead performance engineering, including sharding and partitioning strategies, caching patterns (e.g., Redis integration), workload isolation and scaling models
• Define and enforce SLOs/SLAs and reliability benchmarks
• Introduce proactive capacity planning and performance optimization models
• Ensure deep integration with core infrastructure layers network (segmentation, routing, load balancing), compute (VM, bare metal, container orchestration), storage (block, file, object; performance…