[Hiring] Lead Cloud Architect - NoSQL Databases @Humana

Role Description

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.

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, partitioning, indexing, query optimization, performance tuning, scalability, and resiliency patterns.
• Experience designing database platforms for high availability, disaster recovery, backup, recovery, monitoring, and operational support.
• Working knowledge of cloud security principles, including identity and access management, encryption, private networking, secrets management, audit logging, and compliance controls.
• Experience using AI-assisted engineering tools such as GitHub Copilot, Claude, or similar tools to support software development, automation, documentation, troubleshooting, or architecture activities.
• Ability to responsibly apply AI tools while protecting confidential information, regulated data, source code, credentials, and enterprise intellectual property.
• Ability to create technical documentation, architecture diagrams, standards, runbooks, implementation guidance, and operational support materials.
• Strong leadership, communication, collaboration, and stakeholder engagement skills.

Preferred Qualifications

• Experience with Enterprise Cloud Modernization programs.
• Experience with MongoDB Atlas, self-managed MongoDB, or enterprise MongoDB deployments.
• Experience with Azure Cosmos DB, including API selection, partition key design, request unit planning, consistency levels, indexing policies, monitoring, and backup/recovery capabilities.
• Experience with Cosmos DB to MongoDB migration planning, application compatibility analysis, data validation, or platform rationalization.
• Experience with Neo4j Aura, self-managed Neo4j, graph data modeling, Cypher queries, and graph analytics use cases.
• Experience with vector databases or vector search platforms supporting semantic search, retrieval-augmented generation, AI/ML workloads, or recommendation capabilities.
• Experience with Kubernetes, cloud-native application platforms, containerized workloads, or managed database services.
• Experience working in regulated industries such as healthcare, insurance, financial services, or other compliance-driven environments.
• Professional certifications in major cloud platforms, MongoDB, Neo4j, data engineering, or related NoSQL technologies.

Benefits

• Work-Life Balance
• Generous PTO package
• Health benefits effective day 1
• Annual Incentive Plan
• 401K - Excellent company match
• Well-being program
• Paid Volunteer Time Off

Work-At-Home Requirements

• Minimum download speed of 25 Mbps and upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested.
• Satellite, cellular and microwave connection can be used only if approved by leadership.
• Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
• Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.
• Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel

While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$142,300 - $195,700 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

• Humana provides medical, dental and vision benefits.
• 401(k) retirement savings plan.
• Time off (including paid time off, company and personal holidays, paid parental and caregiver leave).
• Short-term and long-term disability.
• Life insurance and many other opportunities.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status.