Principal Engineer, Data Platforms – Architecture, Ingestion

Job not on LinkedIn

🔥 4 hours ago

🏖️ New Jersey – Remote

🏖️ New Jersey – Remote

💵 $144.2k - $288.4k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

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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 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 across 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 CI/CD implementation • Define enterprise security, governance, observability, reliability, and operational excellence practices aligned with OTEL, OCSF, and compliance requirements • Serve as the highest-level technical escalation point and provide architectural leadership 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, automation frameworks, governance standards, and platform best practices • Evaluate emerging technologies and develop strategic roadmaps to improve scalability, reliability, governance, developer productivity, and operational efficiency • Enable advanced analytics, security analytics, observability intelligence, and AI/ML workloads through trusted, governed, reusable data platform capabilities

🎯 Requirements

• 10+ years of experience architecting, building, and operating enterprise-scale cloud data platforms, data lakes, distributed systems, and large-scale data ingestion ecosystems supporting mission-critical workloads • 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 technologies such as Terraform, GitHub Actions, or comparable cloud-native automation platforms • 7+ years of experience designing and operating high-scale streaming and telemetry ingestion architectures processing more than 100 TB per day using technologies such as 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 driving enterprise platform strategy, multi-cloud architecture across Azure, AWS, and GCP, engineering standards, security governance, and large-scale transformation initiatives • Extensive experience with enterprise-scale data platforms, analytics ecosystems, observability platforms, or cloud-native engineering platforms within large and highly regulated environments • Hands-on expertise with Unity Catalog, Delta Sharing, metadata services, lineage frameworks, information stewardship, retention controls, and federated operating models • Experience with Splunk rationalization, security analytics modernization, SIEM ecosystems, telemetry consolidation, or monitoring transformation programs • Background designing secure serverless computing environments, multi-tenant architectures, workload isolation strategies, and Databricks deployments spanning Azure, AWS, and GCP • Experience establishing FinOps disciplines, consumption governance, chargeback methodologies, provisioning automation, and resource optimization programs • Databricks certifications or equivalent, with knowledge of AI/ML enablement, advanced analytical workloads, OpenTelemetry (OTEL), and Open Cybersecurity Schema Framework (OCSF) standards • Bachelor’s degree from an accredited university or equivalent work experience; alternatively, high school diploma plus 4 years of relevant experience

🏖️ Benefits

• 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

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