Principal Engineer, Data Platforms (Architecture & Ingestion)

CVS Health

Confirmed live today High trust
Closes in 4 days Remote

Quick summary

Work type
Remote
Location
New Jersey
Salary
$144,200–$288,400 / yr
Employment
Full-time
Posted
69 days ago
Freshness
Confirmed live today
Closes
Oct 31, 2026 (soon)

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k
This role $216k
$110k $307k
below market most similar roles pay here above market

This role pays more than 76% of similar roles. Most pay $169,550–$215,125 — the blue band above. At the midpoint, this role pays about $216k versus about $192k 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 119 open roles on FindRole.

Listed pay typically runs $106,605–$260,590 across 115 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Principal Engineer, Data Platforms (Architecture & Ingestion)

The Principal Engineer, Data Platforms serves as the senior technical authority for the architecture, engineering, governance, and evolution of the Unified Ingestion Platform and Federated Data Lake. This role involves defining the technology strategy for a scalable, cloud-native platform capable of processing hundreds of terabytes daily across Azure, AWS, and GCP. Key responsibilities include owning the Databricks platform strategy, managing multi-cloud account structures, and leading a multi-year transformation to consolidate fragmented observability, security, and operational telemetry into a unified ecosystem. The position requires expertise in Databricks, Delta Lake, Unity Catalog, Apache Spark, Terraform, GitHub Actions, Kafka, and Kinesis. The work focuses on solving complex data ingestion, security governance, and operational intelligence problems while establishing infrastructure-as-code and policy-as-code standards for enterprise-wide telemetry data.

What does a Engineer earn in Remote?

Median $199471 from 30 postings across 16 companies.

See salary data

What you'll do

  • Define and own the architecture, strategy, and multi-year roadmap for the Unified Ingestion Platform and Federated Data Lake.
  • Architect and scale high-volume ingestion and processing capabilities to support over 250 TB of data daily across multi-cloud environments.
  • Establish and govern the enterprise Databricks architecture, including workspace design, metadata management, and secure access models.
  • Lead the implementation of Infrastructure-as-Code, Policy-as-Code, and automated CI/CD pipelines for platform operations.
  • Define enterprise standards for security, governance, observability, and reliability aligned with OpenTelemetry and OCSF requirements.
  • Establish FinOps strategies, cost allocation frameworks, and resource optimization practices to ensure cost-effective platform operations.
  • Mentor engineers and architects while driving the adoption of cloud-native engineering principles and platform best practices.
  • Evaluate emerging technologies to develop strategic roadmaps that improve platform scalability, reliability, and developer productivity.

What we're looking for

  • 10+ years of experience architecting, building, and operating enterprise-scale cloud data platforms, data lakes, and distributed systems.
  • 8+ years of experience designing and administering Databricks platforms, including Apache Spark, Delta Lake, and Unity Catalog.
  • 8+ years of experience implementing Infrastructure-as-Code, platform automation, CI/CD pipelines, and Policy-as-Code controls.
  • 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 enterprise platform strategy and multi-cloud architecture.
  • Bachelor’s degree from an accredited university or equivalent work experience (HS diploma + 4 years relevant experience).
  • Extensive experience building data platforms within large and highly regulated environments (preferred).
  • Databricks certifications (Data Engineer, Data Architect, Platform Architect, or equivalent) (preferred).

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