Staff Systems Engineer – Digital

CVS Health

. Define and own enterprise data architecture strategy across operational, analytical, and AI/ML workloads .

Posted 9/23/2026full-timeRemote • Arizona • United StatesLead💰 $118,450 - $236,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in enterprise data architecture, data governance, and compliance with regulatory standards such as HIPAA and CCPA. Proficient in designing data models, managing data quality frameworks, and implementing cloud-native data platforms like GCP and Azure.

Highest-signal resume keywords

Enterprise Data Architecture StrategyData Governance FrameworksCloud-Native Data Platforms (GCP, Azure)Relational and Non-Relational Data ModelingData Pipeline Languages (SQL, Python, Scala, Spark)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData GovernanceSQLPythonScalaSparkStreaming Data ArchitecturesData Transformation Frameworks (dbt, Great Expectations)Feature Store PlatformsData Quality Frameworks

Tools & Technologies

GCP (BigQuery, Dataflow, Pub/Sub)Azure SynapseKafkaDataplexCollibraAlationFeastTectonVertex AI Feature Store

Industry Keywords

HIPAACCPAData GovernanceData Mesh PrinciplesFederated Data Ownership Models

Tech Stack

Tools & technologies

AzureBigQueryCloudGoogle Cloud PlatformKafkaPythonScalaSparkSQLVault

About the role

Key responsibilities & impact

Define and own enterprise data architecture strategy across operational, analytical, and AI/ML workloads
Design and govern data models, data contracts, and canonical schemas
Evaluate and standardize data platform tooling including data lakes, warehouses, streaming, and serving layers
Serve as the primary subject matter expert for shared data platform concerns
Lead technical design and solutioning for foundational data components
Own data governance frameworks covering classification, lineage, ownership, and quality standards
Partner with legal, security, and compliance teams on HIPAA, CCPA, and healthcare regulatory requirements
Define and enforce data access controls, masking strategies, and PHI handling
Drive data catalog adoption and metadata management
Establish data retention, archival, and deletion standards
Design architectures supporting AI/ML training, feature engineering, and inference pipelines
Define feature store patterns and real-time data serving strategies
Partner with AI engineering teams on LLM and generative AI data contracts and schemas
Establish dataset versioning, training/serving skew detection, and model input monitoring patterns
Advise product engineering, platform, and analytics teams on data architecture
Create documentation, architecture decision records, and onboarding guides
Drive alignment on data standards, naming conventions, and shared data product strategies
Establish data quality frameworks, observability standards, alerting, lineage tracking, and incident response
Drive data reliability engineering practices and pipeline testing

Requirements

What you’ll need

7+ years of experience in data engineering, data architecture, or related roles
5+ years of hands-on experience with cloud-native data platforms, including GCP (BigQuery, Dataflow, Pub/Sub) and Azure Synapse
5+ years of experience with data governance, compliance, and regulatory requirements
Proven track record of building and governing enterprise-scale data platforms across multiple product teams
Expertise in relational and non-relational data modeling, including dimensional modeling, Data Vault, or event-sourced patterns
Strong command of SQL and at least one data pipeline language: Python, Scala, or Spark
Experience with streaming data architectures such as Kafka, Pub/Sub, or Kinesis
Experience with data governance tooling such as Dataplex, Collibra, or Alation
Familiarity with data mesh principles and federated data ownership models
Knowledge of feature store platforms such as Feast, Tecton, or Vertex AI Feature Store
Experience with dbt, Great Expectations, or similar data transformation and quality frameworks
Exposure to LLM data pipelines, RAG architectures, embedding generation, or vector database design
Bachelor's degree or equivalent experience (HS diploma + 4 years relevant experience)

Benefits

Comp & perks

CVS Health bonus, commission or short-term incentive program
Equity award program
Medical coverage
Dental coverage
Vision coverage
Paid time off
Retirement savings options
Wellness programs
Other resources supporting physical, emotional, and financial well-being