Senior Infrastructure Database Engineer

Bank of America•Plano, TX

1d•Onsite

About The Position

This job is responsible for leading the most complex technical designs that enable business strategies in accordance with architectural governance, standards and policies. Key responsibilities include facilitating deployment of the most complex technical solutions by developing templates, playbooks and automation used during implementation. Job expectations include consistently looking for opportunities to improve the reliability and efficiency of implementing the services, and influencing a culture of innovation and continuous improvement. You will act as a technical authority and platform owner, driving architecture, standards, and engineering practices across a portfolio of modern data technologies including: MongoDB Redis Graph databases (e.g., GraphDB, Neo4j, Stardog) Emerging distributed and specialized data platforms This role operates at the intersection of: Database engineering Platform engineering Cloud/infrastructure architecture Security and compliance integration You will ensure platforms are: Highly resilient and scalable API-first and automation-driven Simple and intuitive for internal consumers Fully integrated into enterprise systems, controls, and workflows

Requirements

7+ years as an Infrastructure Engineer or working in a similar function
Deep database engineering expertise
Automation-first mindset
Cross-domain integration (infra, security, enterprise systems)
Strong stakeholder management and influence

Nice To Haves

Experience leading platform engineering or internal developer platform initiatives
Experience in financial services or regulated enterprise environments
Familiarity with Graph/RDF/semantic technologies, AI/ML and GraphRAG architectures
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
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

Responsibilities

Serves as a consultant on a broad range of technologies, platforms, and vendor offerings to drive targeted business outcomes
Develops software solutions to address manual and repeatable work or inefficient processes and contributes to the technology strategy for end-to-end engineering solutions and provides feedback to the architecture teams
Translates business requirements into technical definitions, reference models, blueprints, and playbooks for deployment in compliance with architecture standards and policies
Participates in various steering committees for technical and infrastructure service domains
Leads the evaluation of reference models, blueprints and playbooks to ensure they are fit for purpose
Mentors and guides team members to ensure system design technology solutions comply with enterprise system design and engineering standards
Creates an inclusive and healthy working environment and help to resolve organizational impediments/blockers
Lead the design, engineering, and evolution of enterprise-grade modern database platforms.
Deliver scalable, resilient, API-driven database services that integrate seamlessly with enterprise infrastructure and control ecosystems.
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 (MongoDB), in-memory (Redis), graph/knowledge graph platforms.
Evaluate and guide adoption of emerging database technologies aligned to enterprise needs (e.g., AI/GraphRAG, real-time processing, fraud/KYC use cases).
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.
Drive consistency across hybrid and multi-cloud deployments.