This role pays more than
63%
of similar roles. Most pay
$169,550–$237,862
— the shaded band above.
At the midpoint, this role pays about
$216k
versus about
$204k
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.
Principal Engineer, Data Platforms (Architecture & Ingestion) serves as the senior technical authority responsible for the architecture, engineering, governance, and evolution of the Unified Ingestion Platform and Federated Data Lake. This role focuses on building a scalable, cloud-native data platform to process hundreds of terabytes daily across Azure, AWS, and GCP environments. The engineer will lead a multi-year transformation to consolidate fragmented observability, security, and operational telemetry into a unified ecosystem. Key responsibilities include managing the Databricks platform strategy, implementing Infrastructure-as-Code and Policy-as-Code, and establishing FinOps strategies. Technical requirements include expertise in Databricks, Delta Lake, Unity Catalog, Apache Spark, Kafka, Event Hub, Kinesis, Pub/Sub, NiFi, and Cribl. The role addresses the technical challenge of creating a secure, high-volume ingestion infrastructure to support advanced analytics, AI/ML workloads, and consistent multi-cloud operations.
Define and execute the multi-year roadmap for the Unified Ingestion Platform and Federated Data Lake.
Architect high-volume data ingestion systems capable of processing hundreds of terabytes daily across Azure, AWS, and GCP.
Own the enterprise Databricks platform strategy including workspace design, security controls, and metadata management.
Implement Infrastructure-as-Code and Policy-as-Code to automate provisioning and ensure standardized platform operations.
Establish enterprise standards for data governance, lineage, and compliance with OpenTelemetry and OCSF frameworks.
Develop FinOps strategies to manage cost allocation, resource optimization, and capacity planning.
Serve as the primary technical authority and escalation point for engineering, security, and infrastructure teams.
Mentor engineers while driving the adoption of cloud-native principles and advanced AI/ML capabilities.
What we're looking for
10+ years of experience architecting, building, and operating enterprise-scale cloud data platforms, data lakes, distributed systems, and large-scale data ingestion ecosystems.
8+ years of experience designing and administering Databricks platforms, including Apache Spark, Delta Lake, Unity Catalog, and governance frameworks.
8+ years of experience implementing Infrastructure-as-Code, platform automation, CI/CD pipelines, and Policy-as-Code controls using tools like Terraform or GitHub Actions.
7+ years of experience designing and operating high-scale streaming and telemetry ingestion architectures processing more than 100 TB per day.
5+ years of experience in a Principal Engineer or Lead Architect role driving multi-cloud architecture across Azure, AWS, and GCP.
Experience building data platforms or observability systems in highly regulated environments (preferred).
Expertise with Unity Catalog, Delta Sharing, metadata services, and FinOps disciplines (preferred).
Bachelor’s degree from an accredited university or equivalent work experience (high school diploma plus 4 years of relevant experience).
Distributed Systems
High-Performance Computing
Data Governance
DLP
RBAC
RAG
Vector Stores
Databricks
API
SaaS Integration
Confluence
SharePoint
Slack
Teams
Google Drive
Glean