Principal Engineer, Data Platforms (Architecture & Ingestion

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do.

Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

We are seeking a Principal Engineer, Data Platforms to serve as the senior technical authority responsible for the architecture, engineering, governance, and evolution of the Unified Ingestion Platform and Federated Data Lake supporting enterprise observability, security, and operational telemetry data. The Principal Engineer, Data Platforms will define and execute the technology strategy for a highly scalable, cloud-native data platform capable of ingesting and processing hundreds of terabytes of data daily across Azure, AWS, and GCP.

The Principal Engineer, Data Platforms will own the enterprise Databricks platform strategy and architecture, including multi-cloud account structures, workspace design, infrastructure automation, security controls, governance frameworks, data lifecycle management, metadata services, and platform standardization. The Principal Engineer, Data Platforms will lead a multi-year transformation initiative focused on consolidating fragmented observability, security, and operational telemetry platforms into a unified, governed, and cost-efficient ecosystem leveraging Databricks, Delta Lake, Unity Catalog, and modern cloud-native engineering practices.

As the organization’s foremost technical expert in enterprise data platforms, the Principal Engineer, Data Platforms will establish engineering standards, drive infrastructure-as-code and policy-as-code adoption, lead enterprise-wide architecture decisions, and influence strategic technology investments. The Principal Engineer, Data Platforms will partner with engineering, security, operations, infrastructure, and business stakeholders to deliver a resilient, scalable, secure, and future-ready data platform that improves operational intelligence, strengthens governance, accelerates onboarding, enables AI/ML and analytics workloads, and promotes consistent multi-cloud platform operations across the enterprise.

• Platform Architecture & Engineering Leadership:
  Define and own the architecture, strategy, and multi-year roadmap for the Unified Ingestion Platform and Federated Data Lake supporting observability, security, and operational telemetry data across the enterprise. Architect and scale high-volume ingestion and processing capabilities supporting 250+ TB per day across logs, metrics, traces, security events, and operational datasets while driving platform modernization and convergence initiatives. 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 implementation of Infrastructure-as-Code, Policy-as-Code, automated provisioning, and enterprise-grade CI/CD pipelines to enable reliable, standardized, and scalable platform operations. Define enterprise security, governance, observability, reliability, and operational excellence practices while aligning platform standards with Open Telemetry (OTEL), Open Cybersecurity Schema Framework (OCSF), and enterprise compliance requirements.
• Technical Leadership, Optimization & Innovation:
  Serve as the highest-level technical escalation point and provide architectural leadership across engineering, security, infrastructure, and platform teams. Establish Fin Ops strategies, cost allocation frameworks, resource optimization practices, and capacity planning models to ensure efficient and cost-effective platform operations. Mentor engineers and architects while driving adoption of cloud-native engineering principles, automation frameworks, governance standards, and platform best practices. Evaluate emerging technologies and develop strategic roadmaps that improve platform scalability, reliability, governance, developer productivity, and operational efficiency.
  
  Enable advanced analytics, security analytics, observability intelligence, and AI/ML workloads through trusted, governed, and reusable enterprise data platform capabilities.

• 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…