Senior Solution Architect

Position Summary

The Senior Solution Architect is accountable for the business solution designs for key strategic initiatives including (but not limited to) developing architectures that represent business, applications/integration, data, infrastructure, platform, and security architectures. In this role you will create solution architecture for key strategic initiatives including developing architectures and runways that represent business, application/integration, data, infrastructure, platform, and security architectures, partnering within Data, Digital, Analytics, and Technology teams.

Accountabilities include:

• End to End Solution Architecture: Drives solutions from cradle to grave for a given enterprise-grade system or systems.
• Buy vs Build Analysis: Experience in performing Buy vs Build analysis based on the qualitative and quantitative analysis across the available options to provide a final recommendation based on the rationale.
• Architecture and design reviews: Contributor role in architecture design reviews within the Architecture community to drive modernization opportunities for the advancement of Aetna technology while keeping in mind the complexities of our IT landscape.
• Trusted advisor: Act as a trusted advisor to application, security, and platform teams, driving alignment on strategies and patterns.
• Application profile identification: Leverage technical expertise and domain knowledge to identify Aetna apps targeted for refactor and optimization for cloud.
• Proof of concept technology support: Contribute towards proofs-of-concept and technology deep-dives specific to partner technologies.
• “Whatever it takes” attitude to help clear technical roadblocks: Advise and assist Application development teams with technical roadblocks such as performance challenges within a solution.
• Cost optimization identification: Engage with appropriate stakeholders to recommend or assess opportunities to drive cost efficiencies aimed at simplicity, configurability and eventual elimination of technical debt associated with Aetna applications.
• Tech Debt: Manage tech debt within a given portfolio and develop solution proposals to reduce them.

Soft Skills:

• Thought leadership and mentoring
• Excellent communication
• Deep collaboration skills. Ability to work as a team player seeking alignment and being able to influence outcomes through hands-on demonstration of cloud capabilities.

Required Qualifications

• 5+ years of design/development experience
• 1+ years of hands-on cloud implementation experience
• Technical subject matter expertise and domain knowledge
• Hands on understanding of cloud design and architecture for one or more public cloud service provider (AWS, GCP, Azure, etc) to deliver large-scale distributed solutions across the full enterprise stack.
• Hands on technical skills in the following areas: application, data, integration and security architecture/design
• Hands on understanding of APIs (Rest, GraphQL, gRPC. Etc.) and microservices-based architecture is a must.
• Experience working with technologies that work as glue between modern applications and legacy infrastructure leveraging streaming platforms like Kafka.
• Ability to collaborate with Aetna Tech, Enterprise Architecture, Operations, and Security to deliver solutions.
• Experience in enterprise development tools and methodologies (XP, Agile) including DevSecOps and DataOps
• Hands-on technologists with coding skills and proficiency in modern technology stacks (Cloud, DevOps, Kafka etc.)
• Understanding of both SQL and NoSQL database technologies as well as Cloud database technologies.
• Demonstrable hands-on experience is a must
• Facilitates adoption of cloud-native/cloud-first architecture.
• Experience integrating with legacy mainframe/mid-range applications including developing roadmaps for modernization of the applications.

Preferred Qualifications

• Experience in the Healthcare Payor Industry is a plus.
• AWS/GCP/Azure Architect cloud certification is preferred.
• Architectural/technical understanding of Gen AI (RAG/chain frameworks, Vector DB searches and embeddings, Agentic AI, etc.)

Education

Bachelor’s degree in computer science/related field required or equivalent experience.

Anticipated Weekly Hours 40