This role pays less than
74%
of similar roles. Most pay
$175,238–$246,150
— the shaded band above.
At the midpoint, this role pays about
$178k
versus about
$211k
for comparable roles.
Based on 240 similar postings.
Employer
About CVS Health
CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy
CVS Health currently has
88 open roles
on FindRole.
Listed pay typically runs
$118,450–$284,280
across 84 roles with salary data.
The Senior Manager, Observability Data Platform Engineering leads the strategy, engineering, operations, and continuous evolution of the enterprise Observability Data Platform. This role supports Operations, Cybersecurity, Infrastructure, Application, and Site Reliability Engineering teams by overseeing platform architecture, telemetry ingestion, data processing, reliability, performance optimization, automation, governance, and technology lifecycle management. The manager is responsible for building a secure, scalable, and cost-efficient ecosystem to improve operational visibility and engineering productivity. Key technologies and tools include Splunk, Cribl, OpenTelemetry, Databricks, Azure, Kafka, and Infrastructure as Code. The role addresses the technical challenge of managing large-scale data ingestion and distributed telemetry systems across hundreds of data-producing units. The manager must navigate complex platform modernization initiatives while ensuring high availability and performance for thousands of users within a sophisticated enterprise environment.
Lead the engineering, operations, and continuous evolution of the enterprise Observability Data Platform.
Oversee telemetry ingestion, data processing, and platform capabilities for monitoring and analytics.
Ensure the platform remains secure, scalable, highly available, and cost-efficient for thousands of users.
Define and execute the platform strategy and roadmap in partnership with cross-functional stakeholders.
Drive automation, performance optimization, capacity planning, and continuous service improvements.
Establish engineering standards, governance processes, and security controls to ensure platform integrity.
Lead, coach, and develop high-performing engineering teams while fostering a culture of ownership.
Manage strategic vendor relationships and technology partnerships to support business objectives.
What we're looking for
Bachelor’s degree from an accredited university or equivalent work experience (HS diploma plus 4 years relevant experience).
7+ years of experience supporting enterprise-scale data, platform, infrastructure, observability, or cloud engineering environments.
5+ years of leadership experience building high-performing teams and delivering complex, cross-functional technical initiatives.
5+ years of experience operating large-scale cloud and/or hybrid platforms with responsibility for reliability, monitoring, incident management, and operational excellence.
3+ years of experience leading complex, enterprise-wide engineering initiatives across multiple stakeholder groups and technology teams.
Proficiency with enterprise observability platforms including Splunk, Cribl, and OpenTelemetry (preferred).
Background in cloud-native data platforms and architectures, such as Databricks, Azure, and distributed telemetry ecosystems (preferred).
Familiarity with Security Operations, SIEM platforms, and streaming/messaging technologies like Kafka (preferred).