Staff Systems Engineer – Digital

Job not on LinkedIn

🔥 1 hour ago

🌵 Arizona – Remote

🌵 Arizona – Remote

💵 $118.5k - $236.9k / year

⏰ Full Time

🔴 Lead

⚙️ Systems Engineer

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CVS Health Careers

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🛒 Retail

📦 Logistics

Healthcare • Retail • Logistics

CVS Health Careers is the recruitment and employer branding arm of CVS Health, showcasing job opportunities across the company's broad operations—pharmacy retail stores, pharmacy services, health care clinics, distribution warehouses, corporate functions and transportation. The careers site emphasizes purpose-driven work focused on improving access, affordability and quality of health care, and highlights a large workforce (300,000+ employees), inclusive culture, benefits, and hiring resources for applicants.

📋 Description

• 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 SME 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 control, masking, and PHI handling patterns • Drive data catalog adoption and metadata management • Establish data retention, archival, and deletion standards • Design architectures for AI/ML training, feature engineering, and inference pipelines • Define feature store patterns and real-time data serving strategies • Partner with AI engineering teams on data contracts and schemas for LLM and generative AI use cases • Establish dataset versioning, training/serving skew detection, and model input monitoring patterns • Partner with product engineering, platform, and analytics teams to deliver architectural solutions • Act as technical advisor and escalation point for complex data architecture decisions • Create documentation, architecture decision records, and onboarding guides • Drive alignment on data standards, naming conventions, and shared data product strategies • Establish data quality frameworks, freshness SLAs, completeness checks, and anomaly detection • Define observability standards for data pipelines, including alerting, lineage tracking, and incident response • Drive data reliability engineering practices and reduce mean time to resolution • Champion unit, integration, and contract testing for data pipelines

🎯 Requirements

• 7+ years of experience in data engineering, data architecture, or related roles • 5+ years of 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 • Bachelor's degree or equivalent experience (HS diploma + 4 years relevant experience) • Proven track record of building and governing enterprise-scale data platforms across multiple product teams • Strong communication skills for technical and non-technical stakeholders • 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, including RAG architectures, embedding generation, or vector database design • Experience supporting or leading data platform or data foundation teams in a multi-team organization

🏖️ Benefits

• Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • CVS Health bonus, commission or short-term incentive program • Equity award program • Additional well-being resources based on eligibility

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