Lead Cloud Architect - NoSQL Databases

** Become a part of our caring community*
* Humana is seeking a Lead Cloud Architect - No

SQL Databases to provide strategic leadership, architecture direction, and engineering oversight for enterprise No

SQL database platforms across Humana's cloud environments. This role will focus on the design, implementation, modernization, and governance of No

SQL database solutions, including MongoDB, Azure Cosmos DB, Neo4j, and vector database technologies.

The successful candidate will help define and advance Humana's enterprise No

SQL 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 No

SQL database standards, reference architectures, design patterns, and best practices.

+ Lead architecture and engineering efforts for No

SQL platforms including MongoDB, Azure Cosmos DB, Neo4j, and vector databases.

+ Support No

SQL platform rationalization and modernization initiatives, including migration planning and execution from Cosmos DB to MongoDB where appropriate.

+ Architect secure, highly available, scalable, and performant No

SQL 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 No

SQL data modeling, partitioning, indexing, query patterns, performance optimization, and operational readiness.

+ Oversee automation of No

SQL provisioning, configuration, monitoring, backup, recovery, and lifecycle management using Dev Ops 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 No

SQL deployments meet enterprise security, regulatory, and operational standards.

+ Support Cloud onboarding, development, deployment, and troubleshooting activities for application teams using No

SQL database platforms.

+ Provide technical leadership, mentorship, and architecture guidance to engineers and cross-functional teams.

+ Evaluate emerging No

SQL, 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, Dev Ops, or related technology roles.

+ Strong experience designing, implementing, or supporting No

SQL 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 Dev Ops practices, including CI/CD pipelines, source control, branching strategies, release management, pull request workflows, automated testing, and operational automation.

+

Experience with Azure Dev Ops, Git Hub, Git Lab, Jenkins, or similar Dev Ops 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 No

SQL data modeling, partitioning, indexing, query optimization, performance tuning, scalability, and resiliency patterns.

+…