Principal Engineer, Data Platforms – Architecture, Ingestion

Vaga não está no LinkedIn

🕒 Agosto 19

🏖️ New Jersey – Remoto

🏖️ New Jersey – Remote

💵 $144.200 - $288.400 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

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CVS Health

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1963

🏥 Saúde

⚕️ Seguro de Saúde

🛒 Varejo

Healthcare • Healthcare Insurance • Retail

CVS Health é uma empresa líder de saúde nos Estados Unidos, dedicada a ampliar o acesso e a acessibilidade ao cuidado. A empresa adota uma abordagem abrangente que inclui serviços de saúde, seguro saúde e gestão de benefícios farmacêuticos (PBM). Por meio de suas subsidiárias, como Aetna e CVS Caremark, a CVS Health oferece uma variedade de serviços que promovem o bem-estar, a gestão de condições de saúde e a cobertura acessível de medicamentos prescritos. A CVS Health opera farmácias de bairro, oferece serviços de farmácia por correspondência e gerencia programas de medicamentos de especialidade, com o objetivo de tornar o cuidado com a saúde conveniente e acessível para todos. Movida pela missão de conectar pessoas a serviços essenciais de cuidado, a CVS Health está comprometida em fomentar comunidades mais saudáveis e apoiar o bem-estar de todas as pessoas.

Descrição

• Define and own the architecture, strategy, and multi-year roadmap for the Unified Ingestion Platform and Federated Data Lake • Architect and scale ingestion and processing capabilities supporting 250+ TB per day across logs, metrics, traces, security events, and operational datasets • Establish and govern enterprise Databricks architecture, including multi-cloud account structures, workspace strategies, environment isolation, metadata management, data governance, lineage, and secure access models • Lead Infrastructure-as-Code, Policy-as-Code, automated provisioning, and enterprise-grade CI/CD implementation • Define security, governance, observability, reliability, and operational excellence practices aligned with OTEL, OCSF, and compliance requirements • Serve as the highest-level technical escalation point across engineering, security, infrastructure, and platform teams • Establish FinOps strategies, cost allocation frameworks, resource optimization practices, and capacity planning models • Mentor engineers and architects and drive adoption of cloud-native engineering principles and platform best practices • Evaluate emerging technologies and develop strategic roadmaps • Enable analytics, security analytics, observability intelligence, and AI/ML workloads through governed enterprise data capabilities • Partner with engineering, security, operations, infrastructure, and business stakeholders to deliver a resilient, scalable, secure, and future-ready data platform

🎯 Requisitos

• 10+ years of experience architecting, building, and operating enterprise-scale cloud data platforms, data lakes, distributed systems, and large-scale data ingestion ecosystems • 8+ years of experience designing and administering Databricks platforms, including Apache Spark, Delta Lake, Unity Catalog, secure data access patterns, metadata management, lineage, and enterprise governance frameworks • 8+ years of experience implementing Infrastructure-as-Code, platform automation, CI/CD pipelines, and Policy-as-Code controls using Terraform, GitHub Actions, or comparable platforms • 7+ years of experience designing and operating high-scale streaming and telemetry ingestion architectures processing more than 100 TB per day using Kafka, Event Hub, Kinesis, Pub/Sub, NiFi, Cribl, or similar platforms • 5+ years of experience serving as a Principal Engineer, Lead Architect, or equivalent technical leadership role • Experience driving enterprise platform strategy and multi-cloud architecture across Azure, AWS, and GCP • Experience with engineering standards, security governance, and large-scale transformation initiatives • Bachelor’s degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience) • Preferred: enterprise-scale data platforms, analytics ecosystems, observability platforms, or cloud-native engineering platforms in large and highly regulated environments • Preferred: Unity Catalog, Delta Sharing, metadata services, lineage frameworks, information stewardship, retention controls, and federated operating models • Preferred: Splunk rationalization, security analytics modernization, SIEM ecosystems, telemetry consolidation, or monitoring transformation programs • Preferred: secure serverless computing environments, multi-tenant architectures, workload isolation strategies, and Databricks deployments across Azure, AWS, and GCP • Preferred: FinOps disciplines, consumption governance, chargeback methodologies, provisioning automation, and resource optimization • Preferred: Databricks certifications and knowledge of AI/ML, advanced analytical workloads, OTEL, and OCSF

🏖️ Benefícios

• CVS Health bonus, commission or short-term incentive program • Award target in the company’s equity award program • Medical, dental, and vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being • Diversity, inclusion, and belonging initiatives • Support for people with military experience and military spouses