Remote Principal Data Architect — Data Mesh & Governance

CVS Health Corporation; United States; Remote; USD 144,000 - 288,000; Full time

Benefits offered by this job

Bonus program

Equity awards

Job summary

CVS Health seeks a Principal Data Architect to lead data architecture across Aetna Technology, setting design direction for data modeling, storage, and governance across clouds. This senior IC drives outcomes through design authority rather than direct reports.

This role supports a remote-friendly, continental US setup, focusing on data mesh, golden-path pipelines, and reference architectures to enable scalable AI and analytics capabilities.

Qualifications

• 12+ years in technology with hands-on data architecture experience.
• Expert-level data platform architecture across multivendor/multicloud environments.
• Demonstrated ownership of enterprise data architectures and golden-path patterns.
• Strong governance, lineage, quality, and regulated-data controls (PHI).
• Knowledge of data mesh, domain ownership, and systems-of-record design.
• Drive technical outcomes via influence and design authority as an IC.

Responsibilities

• Own data reference architectures across a multivendor, multicloud estate.
• Define the data mesh operating model with domain-owned data products.
• Protect singular systems of record and authoritative datasets ownership.
• Design and maintain pipeline golden paths for ingestion, modeling, and publishing.

Skills

Data architecture

Multicloud

Data governance

PHI controls

Domain ownership

Influence without authority

Enterprise data

Education

Bachelor’s degree

Tools

Snowflake

GCP/BigQuery

AWS

Job description

CVS Health seeks a Principal Data Architect to lead data architecture across Aetna Technology, setting design direction for data modeling, storage, and governance across clouds. This senior IC drives outcomes through design authority rather than direct reports.

This role supports a remote-friendly, continental US setup, focusing on data mesh, golden-path pipelines, and reference architectures to enable scalable AI and analytics capabilities.