Principal Architect, Data Architecture and Solution Engineering

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Summary CVS Health has a bold agenda to transform health care and empower millions of customers on their path to better health. We are creating new solutions to make health care more accessible, more integrated, and more reliable for more people. We are looking for passionate, motivated people who want to join a growing team to make a difference in customers' lives and who want to be on the ground floor of innovation that aims to reinvent what a health care company can be.   The  Principal Architect , Data architecture and Solution Engineering, will be responsible for developing and executing the data strategy at the business unit level that powers the most advanced end-to-end solution architecture for highly complex and significant technology transformation initiatives in partnership with key business and IT stakeholders.  Roles and Responsibilities  Provide data technology leadership, oversight, and guidance to ensure that the solution adheres to PSS Architecture Guiding Principles and standards while maximizing reuse of technology assets.  In depth 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 Play a key leadership 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 PBM data technologies while keeping in mind the complexities of our technology landscape Develop Reference data architectures, guardrails and guidelines to instill a strong data discipline, providing leadership, coaching and guidance to Engineering and Product teams across the organization.  Lead and drive proofs-of-concept and technology deep-dives especially in leveraging AI to power business analytics Advise and assist App development teams with technical roadblocks such as performance challenges within a solution in key strategic initiatives Required Qualifications Hands-on experience in developing data designs including data models for complex technology transformation programs Rich experience in building automated workflows for data profiling and anomaly detection Experience in designing robust metadata tagging systems to power Retrieval-Augmented Generation and reduce model hallucinations Experience in working with Streaming platforms like Apache Kafka  10+ years in overall design/development experience, with hands-on work experience in Python or functional programming languages like Scala etc In Depth cloud platform skills and 5+ years of hand-on experience with major public cloud platform including GCP, AZURE and AWS 2+ years in hands-on AI/ML (including GenAI) experience and hands-on expertise with automating processes Bachelor’s in computer science, or related field Preferred Qualifications Health Care Industry domain knowledge Understanding of both SQL and NoSQL database technologies Experience in creating data architecture for modernization of legacy mainframe/mid-range AS400 applications Master’s in computer science, or related field Education Required - Bachelor’s in computer science, or related field Preferred - Master’s in computer science, or related field Pay Range The typical pay range for this role is: $144,200.00 - $288,400.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.