Lead Architect - Analytics Engineering, CVS Health

CVS Health

Location:
United States, Hartford

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

106605.00 - 260590.00 USD / Year

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Job Description:

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues. CVS Health is looking for a Staff Software Development Engineer who isn't afraid to use all their knowledge and communication skills to tackle complex problems. Our ideal candidate is detail-oriented and able to collaborate on the improvement of our software and systems. You will be involved in the structural design process, estimating costs, and performing quality control throughout the stages of implementation. A first-class staff engineer will be someone whose engineering expertise translates into streamlined and cost-effective processes.

Job Responsibility:

End to End Solution Leadership: Ultimate accountability and oversight for driving solutions from cradle to grave for a given domain by providing leadership and oversight to application architects and tech leads who are intimately familiar with the application architectures within their specific domain
Architecture and design reviews: Play a key role in architecture design reviews and identify gaps and recommend design changes
Actively lead and participate in the Architecture community to drive modernization opportunities for the advancement of Aetna technology while keeping in mind the complexities of our IT landscape
Contribute to and scale AI infrastructure to facilitate quick experimentation and iteration
Develop Reference architecture and implementation: Providing leadership, coaching and guidance to Application Development, Infrastructure and EA to develop/assemble architectures for cloud-native applications to be applied to applications targeted for refactor and optimization
Application profile identification: Leverage significant technical expertise and domain knowledge to identify Aetna apps targeted for refactor and optimization for cloud
Proof of concept technology support: Lead and drive proofs-of-concept and technology deep-dives specific to partner technologies
Collaborate with cross-functional teams to evolve early-stage ideas into robust, production-ready systems
Develop data domains and products for different consumption archetypes like Reporting, Data Science, AI/ML, and Analytics
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

Requirements:

8+ years of experience building large scale business applications using modern technologies and architecture
8+ years of experience designing complex integrations with a focus on performance engineering and loose coupling using APIs, microservices, and event-driven architecture
8+ years of experience and proficiency with modern languages, frameworks, and technologies
5+ years of experience facilitating implementation of north star architectures by delivery teams through mentoring and building POCs, starter code, and other collaborative activities
SME level understanding of cloud design and architecture for one or more public cloud provider(GCP preferred) to deliver large-scale distributed solutions across the full enterprise stack
SME level technical skills in the following areas: application, data, integration and, security architecture/design
SME level 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
Experience in enterprise development tools and methodologies (XP, Agile) including DevSecOps and DataOps
Substantial experience with requirements analysis, estimation, systems and application design, and testing
Hands-on technologists with coding skills and proficient in modern technology stacks (Cloud, DevOps, Kafka etc.)
Experience in agentic architecture-based implementations and advanced Retrieval Augmented Generation
Understanding of both SQL and NoSQL database technologies as well as Cloud database technologies
Ensure reliability, availability, and scalability of data pipelines through effective monitoring and incident management
Implement best practices in reliability engineering and collaborate with DevOps teams for seamless deployment and operation of data systems
Strong software engineering fundamentals in developing production systems with clean, robust, reliable, and maintainable code
Strong interpersonal collaboration and communication skills, ability to work with high ambiguity and minimum supervision
Facilitates adoption of cloud-native/cloud-first architectures
Experience integrating with legacy mainframe/mid-range applications including developing roadmaps for modernization of the applications
Bachelor's degree from accredited university or equivalent work experience

Nice to have:

Excellent collaboration and communication skills required to ideate solutions that are sufficient and feasible to both the business leads and the technical teams
Exceptional organizational, analytical, problem-solving, strategic thinking, and time management abilities
Experience with optimization skills to improve performance, scalability, and usability of our applications
Ability to develop technical briefs and detailed solution designs
Extensive knowledge of engineering processes, structural design, and system optimization
Experience with agile development, SAFe Agile experienced preferred
Direct, hands-on experience architecting and building production solutions specifically using Vertex AI, GKE, LLMs and streaming services
Relevant GCP Certifications are a bonus
Master's degree preferred

What we offer:

Affordable medical plan options
401(k) plan including matching company contributions
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access
Bonus, commission or short-term incentive program
Equity award program

Additional Information:

Job Posted:
November 07, 2025

Expiration:
November 28, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Lead Architect - Analytics Engineering