Lead Cloud Architect - NoSQL Databases
Humana
- Location
- Louisville, KY
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 130 approvals (FY2023)
- Posted
- 1d ago
Skills
About this role
Become a part of our caring community Humana is seeking a Lead Cloud Architect – NoSQL Databases to provide strategic leadership, architecture direction, and engineering oversight for enterprise NoSQL database platforms across Humana’s cloud environments. This role will focus on the design, implementation, modernization, and governance of NoSQL database solutions, including MongoDB, Azure Cosmos DB, Neo4j, and vector database technologies. The successful candidate will help define and advance Humana's enterprise NoSQL strategy, support platform rationalization initiatives, and ensure database solutions are secure, scalable, resilient, automated, and aligned with enterprise architecture standards. This role requires hands-on technical depth, strong cloud architecture experience, and the ability to collaborate across security, engineering, quality, application, and business teams.
Key Responsibilities
Develop, document, and maintain enterprise-wide NoSQL database standards, reference architectures, design patterns, and best practices. Lead architecture and engineering efforts for NoSQL platforms including MongoDB, Azure Cosmos DB, Neo4j, and vector databases. Support NoSQL platform rationalization and modernization initiatives, including migration planning and execution from Cosmos DB to MongoDB where appropriate. Architect secure, highly available, scalable, and performant NoSQL database solutions across cloud environments, including Azure and/or Google Cloud Platform. Define database architecture patterns for document databases, graph databases, key-value workloads, and vector search use cases. Guide application teams on NoSQL data modeling, partitioning, indexing, query patterns, performance optimization, and operational readiness. Oversee automation of NoSQL provisioning, configuration, monitoring, backup, recovery, and lifecycle management using DevOps and infrastructure-as-code practices. Develop and review automation scripts, tooling, and integrations using Python and related technologies. Collaborate with security, cloud engineering, quality engineering, compliance, and application teams to ensure NoSQL deployments meet enterprise security, regulatory, and operational standards. Support Cloud onboarding, development, deployment, and troubleshooting activities for application teams using NoSQL database platforms. Provide technical leadership, mentorship, and architecture guidance to engineers and cross-functional teams. Evaluate emerging NoSQL, graph, vector database, cloud-native, and AI-enabled data technologies to inform enterprise roadmap decisions. Participate in architecture review, platform governance, technology standardization, and modernization planning activities. Use your skills to make an impact Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, Data Engineering, or a related field. Minimum of 5 or more years of experience in Cloud architecture, Cloud engineering, Database engineering, DevOps, or related technology roles. Strong experience designing, implementing, or supporting NoSQL database platforms such as MongoDB, Azure Cosmos DB, Neo4j, vector databases, or similar technologies . Hands-on experience with cloud platforms, preferably Microsoft Azure and/or Google Cloud Platform . Strong development or scripting experience using Python . Demonstrated experience with DevOps practices, including CI/CD pipelines, source control, branching strategies, release management, pull request workflows, automated testing, and operational automation. Experience with Azure DevOps, GitHub, GitLab, Jenkins, or similar DevOps platforms. Experience with infrastructure-as-code and configuration management tools such as Terraform , Ansible , or similar technologies. Demonstrated experience leading or supporting large-scale database migrations, platform modernization efforts, or technology standardization initiatives. Solid understanding of NoSQL data modeling,