Staff Observability Data Infrastructure Engineer

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
 
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

Company Overview:

CVS Health stands as a paradigm of healthcare innovation, dedicated to enhancing patient care through technological advancements. We are a cornerstone in the industry, paving the way towards a more efficient, accessible, and high-quality healthcare experience, backed by cutting-edge solutions that prioritize patient outcomes.

Position Summary:

CVS Health invites several skilled Observability Data Infrastructure Engineers to join our technological forefront, impacting healthcare delivery reporting to the Senior Manager Observability Data Infrastructure and Platform Solutions. In this critical role, you will be entrusted with the architecture and continuous refinement of our comprehensive observability data platform. As a vital member of our Observability team, this role will collaborate with observability operations and governance teams, business and application partners, as well as service management and IT operations teams. Your expertise will be pivotal in enhancing data integrity, streamlining data processes, and broadening the scope of actionable insights derived from complex operational datasets.  You will be instrumental in constructing, optimizing, and sustaining a robust enterprise observability data pipeline and central data platform. Your focus will be on the seamless gathering, processing, transformation, delivery and storage of operational data. The ideal candidate is experienced in developing and managing enterprise data pipelines and large-scale analytics architectures, as well as proficient in query languages like SPL2, Query-DSL, and ES|QL and has programming experience with languages like Python and/or Java.

Key Responsibilities:

• Architect and cultivate a scalable, state-of-the-art observability data platform, employing tools like Splunk, Clickhouse and Vector to harness critical operational data.

• Innovate and refine enterprise data models, with a focus on bolstering data performance, reliability, and operational intelligence.

• Support enterprise data lifecycle and data management policy and strategy including enterprise data / logging related architecture.

• Enhance data integrity by establishing and enforcing robust data governance processes and standards.

• Ensure compliance with industry regulations and internal policies regarding data security and privacy.

• Spearhead the development of sophisticated data pipelines, utilizing an array of technologies to enable seamless data collection and processing.

• Optimize data flows, data tiering, classification, transformation, reduction and long-term storage and retrieval strategies in high-scale environments within the enterprise observability architecture to ensure efficient data processing and delivery.

• Experience with cost reduction strategies for both licensing and storage (e.g., DDAS and SVC optimizations and cost reductions)

• Engage in strategic collaborations across the IT landscape, syncing observability platforms with diverse systems to unlock a unified view of operational data.

• Champion the evolution of our data platform architecture, ensuring robust scalability to meet burgeoning data demands while maintaining peak performance.

• Drive the observability data platform's ongoing enhancement by integrating the latest technological advancements and best practices, ensuring CVS Health leads in healthcare analytics.

• Vigilantly oversee data security, ensuring strict compliance with regulatory requirements and internal data governance standards to safeguard patient and operational data.

• Experience with DevOps principals including CI/CD pipelines & GitHub

• Understanding of enterprise Master Data Management concepts and data lifecycle approaches are a plus.

Required Skills and Qualifications:

• 7+ years experience managing expansive data platforms like Splunk and Clickhouse, reflecting a deep understanding of observability in a complex ecosystem.

• 6+ years Mastery in crafting and maintai