Principal Data Architect

CVS Health

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
CO
Salary
$144,200–$288,400 / yr
Posted
8 days ago
Freshness
Confirmed live yesterday
Closes
Dec 31, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $196k
This role $216k
$127k most similar roles pay here $306k

This role pays more than 72% of similar roles. Most pay $166,134–$225,125 — the shaded band above. At the midpoint, this role pays about $216k versus about $196k 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.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Principal Data Architect

Principal Data Architect The Principal Data Architect serves as a senior individual contributor and the primary technical authority for data architecture across Aetna Technology. This role is responsible for defining reference architectures, modeling strategies, and governance standards across a multivendor, multicloud data estate. The architect will design data mesh operating models, establish systems of record, and create golden paths for ingestion, transformation, and consumption layers. Key responsibilities include embedding automated governance for regulated data like PHI, enabling AI capabilities through feature readiness and data contracts, and providing technical leadership to engineers without direct reports. Required expertise includes proficiency in Snowflake, GCP/BigQuery, and AWS environments, along with experience in data lineage, quality, and infrastructure-as-code. The role addresses complex challenges in healthcare data management, ensuring secure, scalable, and cost-effective data infrastructure for analytics and agentic systems.

What you'll do

  • Own the data reference architectures across ingestion, storage, transformation, semantic, and consumption layers for a multicloud environment.
  • Define the data mesh operating model by establishing domain-owned data products and clear contracts.
  • Identify and protect singular systems of record to ensure authoritative datasets are managed correctly.
  • Design "golden paths" for pipelines and data products to standardize how teams build and deploy solutions.
  • Embed automated governance, lineage, and quality checks into the pipeline as mandatory gates.
  • Establish security controls and zero-trust patterns for regulated and sensitive data like PHI.
  • Provide the underlying architecture for AI capabilities, including feature readiness and retrieval systems.
  • Translate complex technical trade-offs into decision-oriented narratives for senior technology leaders.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, or a related field or equivalent experience.
  • 12+ years of experience in technology with deep, hands-on data architecture expertise at scale.
  • Expert-level knowledge of multivendor and multicloud data platform architectures including Snowflake, GCP/BigQuery, and AWS.
  • Demonstrated ownership of enterprise data architectures and golden-path patterns for data products.
  • Strong command of data governance, lineage, quality, and controls for regulated data such as PHI.
  • Working knowledge of data mesh, domain ownership, and systems-of-record design.
  • Proven ability to drive technical outcomes through influence and design authority as an individual contributor.
  • Experience in healthcare or other highly regulated industries is preferred.

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