Lead Architect - Analytics Engineering; Requiring Python

Lead Architect - Analytics Engineering (Requiring Python)

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 – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate.

CVS Health is looking for a Lead Architect who isn’t afraid to use all their knowledge and communication skills to tackle complex problems. You will be involved in the structural design process, estimating costs, and performing quality control throughout the stages of implementation. A first‑class architect will be someone whose engineering expertise translates into streamlined and cost‑effective processes.

To ensure success you should demonstrate specialized engineering knowledge and experience while designing, providing guidance, and implementing solutions to complex problems. You will work with business, information, and technology teams to recommend and implement technology solutions needed to enable leading‑edge capabilities and develop comprehensive patterns that outline how those capabilities get realized in response to evolving business needs.

• 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.
• Architecture and design reviews:
  Play a key role in architecture design reviews, identify gaps and recommend design changes.
• Contribute to and scale AI infrastructure to facilitate quick experimentation and iteration.
• Develop reference architecture and implementation:
  Provide leadership, coaching and guidance to Application Development, Infrastructure and EA.
• Application profile identification:
  Leverage significant technical expertise and domain knowledge to identify applications 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 and develop data domains and products for Reporting, Data Science, AI/ML, and Analytics.
• “Whatever it takes” attitude to help clear technical roadblocks:
  Advise and assist Application development teams with performance challenges within a solution.
• Cost optimization identification:
  Recommend or assess opportunities to drive cost efficiencies aimed at simplicity, configurability and elimination of technical debt.
• Tech debt management:
  Manage tech debt within a given portfolio and develop solution proposals to reduce it.

• 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.
• SME level understanding of cloud design and architecture for one or more public cloud provider (GCP preferred).
• SME level technical skills in application, data, integration and security architecture/design.
• SME level understanding of APIs (REST, Graph
  
  QL, gRPC, etc.) and microservices‑based architecture.
• Experience with technologies that bridge modern applications and legacy infrastructure using streaming platforms like Kafka.
• Experience in enterprise development tools and methodologies (XP, Agile) including Dev Sec Ops  and Data Ops.
• Substantial experience with requirements analysis, estimation, systems and application design, and testing.
• Hands‑on coding skills and proficiency in modern technology stacks (Cloud, Dev Ops, Kafka, etc.).
• Ex…