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.
Position SummaryWe are looking for a Senior Platform Engineer to be a core member of our team responsible for the health, stability, and growth of our Azure Databricks data engineering platform.
We also have current data Platforms on-prem (MS SQL server) and Cloud (Palantir Foundry) that this role will support those platforms as well until we have migrated off those platforms and completely on Azure Databricks.
In this role, you will be a hands-on expert who actively contributes to the platforms' operational excellence, security, and performance. You will be a crucial resource for our data engineering teams, providing technical guidance and implementing key enhancements that empower them to build scalable and reliable data solutions.
Responsibilities- Platform Maintenance & Operations: Maintain the day-to-day operational health of the platforms, including monitoring system performance, managing upgrades, and ensuring platform stability.
- Performance and Cost Optimization: Actively monitor and analyze platform usage to identify and implement optimizations. This includes fine-tuning jobs, optimizing cluster configurations, and identifying opportunities for cost savings.
- Platform KPIs Reporting: Develop and maintain KPI dashboards for Platform KPI reporting in terms of Reliability & Stability, Performance & Scalability, Innovation & Enablement, Cost & Utilization Monitoring, Data Quality & Governance for reporting to leadership and other stakeholders.
- Security and Governance: Maintain and enhance security and governance policies within the Databricks environment, with a strong focus on using Unity Catalog to manage data access, lineage, and compliance.
- Advanced Troubleshooting: Provide advanced technical support for complex issues escalated by data teams. Diagnose and resolve platform-level problems, and perform root cause analysis (RCA) to prevent future incidents.
- Tooling and Automation: Maintain and enhance automated scripts and CI/CD pipelines to streamline administrative tasks and improve the efficiency of platform deployment and management.
- Platform Enhancement: Collaborate with internal teams to understand their needs and contribute to the platform's roadmap. Help design and implement new features, services, and best practices to improve the user experience.
Required Skills & Qualifications- Experience: 5+ years of hands-on experience in a data engineering, platform engineering, or DevOps role with a significant focus on cloud data platforms.
- Azure Databricks Expertise: Strong practical experience in managing and operating an Azure Databricks environment. Proven ability to work with core features like Delta Lake, Unity Catalog, and Apache Spark. Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, Databricks Certified Data Engineer Professional, and Databricks Certified Platform Administrator.
- Azure Proficiency: Solid working knowledge of the Azure ecosystem, including Azure Data Lake Storage (ADLS), Azure Active Directory (AAD), and cloud networking concepts.
- Distributed Systems: A solid understanding of distributed computing principles and experience troubleshooting issues in a distributed environment.
- Programming & Scripting: Strong proficiency in Terraform, Python, Apache Spark/PySpark, SQL, and Shell scripting.
- Infrastructure as Code & CI/CD: Proven experience with Infrastructure as Code tools (e.g., Terraform) and building automated CI/CD pipelines for platform and data application deployments.
- Operational Mindset: Demonstrated experience in contributing to the operational stability and performance of a production platform.
- Communication: Excellent communication, documentation, and presentation skills, with the ability to influence technical and business stakeholders.
Preferred Qualifications- Familiarity with healthcare data and healthcare insurance feeds
- Familiarity with Data Analytics and reporting
- Familiarity with ML/AI
Education- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Anticipated Weekly Hours40
Time TypeFull time
Pay RangeThe typical pay range for this role is:
$83,430.00 - $222,480.00
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.
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.
For more information, visit ;br>
We anticipate the application window for this opening will close on: 02/24/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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