CO Salary Range: USD 144,200.00 - 288,400.00 per year
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. And we do it all with heart, each and every day. 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:
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- 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.
- 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)
- 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.
- 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.
- Bachelor's degree in computer science or related field
- Master's degree in computer science or related preferred
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.Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
- Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
- No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
- Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.