
10,000+ employees
Founded 1963
⚕️ Healthcare Insurance
🛒 Retail
🧘 Wellness
Healthcare Insurance • Retail • Wellness
CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.
🕒 Yesterday
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10,000+ employees
Founded 1963
⚕️ Healthcare Insurance
🛒 Retail
🧘 Wellness
Healthcare Insurance • Retail • Wellness
CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.
• 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 • Establish data retention, archival, and deletion standards aligned to regulatory and business requirements • Act as a technical advisor and escalation point for complex data architecture decisions across teams
• 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)
• medical, dental, and vision coverage • paid time off • retirement savings options • wellness programs • equity award program
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