Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.

Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

Position Summary

The Principal Data/Information Architect will lead the design and implementation of enterprise data architecture solutions for key strategic initiatives. As the chief SME architect, you will leverage your extensive expertise in data architecture, governance, integration, and analytics to deliver hands-on solutions that align with business outcomes. This role requires a combination of technical expertise, strategic thinking, and leadership skills to guide data and BI analytics initiatives, ensuring data strategies are aligned with business goals and that PSS data is accessible, secure, and valuable across the organization. You will also play a pivotal role in advancing the organizations modernization journey in alignment with the Enterprise data strategy.

Accountabilities include:

• Architecture and design reviews: Lead the design and implementation of end-to-end scalable, secure, and efficient data/information architectures across the PSS Data LOB . Develop strategies for data storage, integration, and retrieval across structured and unstructured data systems. Establish data models and architecture that support data lakes, data warehouses, and cloud-based systems. Drive architecture reviews, identify gaps and recommend design improvements.

• Data Integration & Management: Design solutions that enable the seamless data flow between source systems, applications, and cloud platforms. Guide data lifecycle management, from data collection, processing, storage, archival and disposal. Develop real-time and batch processing solutions that enables effective analytics and reporting. Foster data integration and interoperability, enabling seamless data sharing by solving complex data integration problems using optimal ETL patterns, frameworks, and query techniques.

• Business Intelligence and Analytics: Collaborate with data engineering, BI, analytics, and data science teams to ensure data architecture supports business needs. Lead the development of data models and architectures that empower business users to derive actionable insights.

• Reference architecture and implementation: Providing leadership in assembling reference architectures to support cloud migration and cloud-native applications. Develop and maintain architecture design documents, roadmaps design patterns, and use-case driven designs.

• Leadership and Innovation: Provide oversight from project inception to delivery, guiding data engineers, BI engineers, data modelers, and architects. Stay updated on industry trends and emerging technologies data/information architecture, cloud computing, big data, analytics, and AI.

• Technology Evaluation and Selection: Lead build vs buy analysis and recommend tools and technologies based on qualitative and quantitative evaluations. Oversee proofs-of-concept and deep-dives into partner technologies.

• Collaboration & Stakeholder Engagement: Work with business leaders, data stewards, security, digital, and engineering teams to ensure alignment with business objectives. Mentor and coach data engineers and architects and contribute data governance, ensuring data integrity, quality, security, and compliance.

• Security and Compliance: Ensure data/information architectures meet security, privacy, and regulatory requirements. Implement robust data security frameworks, including encryption, data masking, and access controls.

• Cost optimization identification: Collaborate with stakeholders to identify opportunities to reduce costs through simplification, configurability, and reduction of technical debt.

• Growth: Opportunity to expand towards leadership role as relevant and appropriate, performance and skill-based opportunity.

Required Qualifications

• 10+ years of experience in designing, developing, and managing large-scale data architectures, including data lakes, data warehouses and cloud environments (Azure, preferably Google Cloud)

8+ years of experience in cloud native-data architectures, data integration, API-base data integration, ELT/ETL, batch, and real-time data processing. Expertise in cloud design and architecture (Azure, AWS, preferably GCP) to deliver large-scale distributed solutions.

• Strong business acumen with the ability to align data/information architecture strategies with business objectives.

• Proven leadership in cross-functional teams and fostering data-driven culture.

• 8+ years of experience in Python and modern data platforms like BigQuery, Spark, Cloud SQL, DataProc, Cloud Storage & Dataflow/Data Fusion.

• 8+ years of experience in SQL/NoSQL databases, cloud databases, and data streaming technologies (Kafka).

• 8+ years of experience in orchestration tools (Airflow, Cloud Composer) and experience in CI/CD pipelines, automation, and DevOps practices.

Preferred Qualifications

• In-depth knowledge of data management, data governance frameworks, data cataloging, and master data management.

• Hands-on coding experience in data integration technologies (on-prem & cloud) and modern technology stacks (Cloud, DevOps, Kafka, etc.)

• In-depth experience with security frameworks, including encryption, access controls and compliance with regulatory requirements. Skilled in enterprise tools (DevSecOps, DataOps), agile methodologies, and product-driven approaches for rapid development and iteration of data architectures to meet evolving business needs.

• Familiar with data frameworks such as Data Fabric, Data Mesh, Data Lakehouse, Lambda architectures.

• Strong problem-solving abilities to complex data and analytics challenges.

• Proven experience in driving adoption of cloud-native/cloud-first architectures.

• Excellent communication skills, engaging both technical and non-technical stakeholders

• Strong Knowledge in BI Tools MicroStrategy, Tableau, Thoughtspot and PowerBI.

• Proven leadership in data modernization or digital transformation initiatives.

• Experience in regulated industries with compliance requirements.

• Healthcare/PBM industry experience strongly preferred.

Education

• Bachelor’s degree in computer science or related field

• Master’s degree in computer science or related preferred

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. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.

In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.

For more detailed information on available benefits, please visit Benefits | CVS Health (https://jobs.cvshealth.com/us/en/benefits)

We anticipate the application window for this opening will close on: 01/03/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.