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.About the Role
We're looking for a Senior Data Architect to help scale and mature our Databricks-based data platform on AWS. You'll play a key role in designing and optimizing our lakehouse architecture, building resilient data pipelines, and enabling secure and scalable analytics across the organization.
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Responsibilities
- Design and scale Databricks Lakehouse architecture on AWS to support diverse data workloads.
- Architect, develop and maintain robust and reusable data pipelines using Databricks (PySpark/Python) for structured and unstructured data.
- Implement and optimize Delta Lake structures and data modeling strategies.
- Build and maintain CI/CD pipelines for notebooks and job workflows , support version control and automated testing.
- Optimize compute costs, cluster configs, and query performance across the platform.
- Configure and manage Unity Catalog for access control, lineage, and data security.
- Partner with DevOps, Cloud, and Analytics teams to align infrastructure and business needs.
- Act as a technical mentor to the engineering team; help with upskilling and best practices.
- Deep experience with Databricks, Delta Lake, and AWS services (e.g., S3, Glue, Lambda).
- 5+ years of experience in data engineering, including cloud-based platforms (Preferred AWS).
- Strong hands-on skills in Python, PySpark, and SQL.
- Experience with data orchestration and infrastructure-as-code.
- Understanding of data quality, performance tuning, and governance principles.
- Databricks Certification(s).
- Experience integrating Databricks with enterprise data tools.
- Exposure to real-time data pipelines or streaming solutions.
- Managed Healthcare experience or knowledge of health insurance concepts, preferably Risk adjustment
- A platform mindset focused on reusable patterns and long-term scalability.
- Proven ability to turn complex data needs into simple, maintainable solutions.
- A collaborative approach and passion for enabling analytics across teams.
- Bachelor's degree in Computer Science, Engineering, Math, Statistics, or a related field or equivalent work experience *Preferred.
The typical pay range for this role is:$130,295.00 - $260,590.00
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.