Senior Data Platform & Governance Engineer

CVS Health; Rhode Island; Hybrid; USD 130,000 - 261,000; Full time

Job summary

CVS Health is seeking a Staff Systems Engineer – Digital to shape the enterprise data architecture across operations, analytics, and AI workloads. You will govern data models, contracts, and tooling while ensuring regulatory compliance and data quality at scale.

You will partner with legal, security, and AI teams to enable trustworthy data platforms and drive cross-team enablement through ADRs and clear documentation.

Qualifications

• 7 years of experience in data engineering, data architecture, or related roles.
• 5 years hands-on experience with cloud-native data platforms – GCP BigQuery, Dataflow, Pub/Sub; Azure Synapse.
• 5 years of experience with data governance, compliance, and regulatory requirements.

Responsibilities

• Define and own the enterprise data architecture strategy across operational, analytical, and AI/ML workloads.
• Design and govern data models, data contracts, and canonical schemas used across product and platform teams.
• Evaluate and standardize data platform tooling including data lakes, warehouses, streaming and serving layers.
• Serve as SME for shared data platform concerns across teams and lead technical design for foundational data components.
• Own data governance frameworks including data classification, lineage, ownership, and quality standards.
• Partner with legal, security, and compliance to meet HIPAA/CCPA requirements and PHI handling.
• Design data architectures that support AI/ML model training and inference pipelines; feature store patterns.
• Collaborate with product engineering, platform, and analytics teams to deliver architectural solutions.

Skills

Systems thinking

Clear communication

Proactive

Ownership

Collaborative

Education

Bachelor’s degree or equivalent experience

Tools

GCP BigQuery

Dataflow

Pub/Sub

Azure Synapse

Job description

CVS Health is seeking a Staff Systems Engineer – Digital to shape the enterprise data architecture across operations, analytics, and AI workloads. You will govern data models, contracts, and tooling while ensuring regulatory compliance and data quality at scale.

You will partner with legal, security, and AI teams to enable trustworthy data platforms and drive cross-team enablement through ADRs and clear documentation.