Observability Data Infrastructure Engineer

2 weeks ago

Sacramento, California, United States CVS Health Full time
Job Description

CVS Health is seeking a highly skilled Observability Data Infrastructure Engineer to join our team. As a key member of our Observability team, you will be responsible for designing and implementing a scalable and state-of-the-art observability data platform. This platform will harness critical operational data using tools like Splunk and Elastic ELK stack.

Key Responsibilities:

  • Design and cultivate a scalable observability data platform, leveraging industry-leading tools to collect and process operational data.
  • Develop and refine enterprise data models to enhance data performance, reliability, and operational intelligence.
  • Support enterprise data lifecycle and data management policy and strategy, including architecture for enterprise data and logging.
  • Lead the development of sophisticated data pipelines, utilizing technologies like Cribl, Confluent, Kafka, Flink, and Ni-Fi to enable seamless data collection and processing.
  • Optimize data flows, tiering, classification, transformation, reduction, and long-term storage and retrieval strategies in high-scale environments within the enterprise observability architecture.
  • Collaborate with cross-functional teams to integrate observability platforms with diverse systems, unlocking a unified view of operational data.
  • Drive the evolution of our data platform architecture, ensuring robust scalability to meet burgeoning data demands while maintaining peak performance.
  • Oversee data security, ensuring strict compliance with regulatory requirements and internal data governance standards to safeguard patient and operational data.

Requirements:

  • 7+ years of experience managing expansive data platforms like Splunk and Elastic ELK stack, reflecting a deep understanding of observability in a complex ecosystem.
  • 6+ years of mastery in crafting and maintaining high-volume data pipelines, with hands-on proficiency in industry-leading tools such as Cribl, Confluent, Kafka, Flink, Amazon AWS, Ni-Fi, and/or related data management platforms.
  • A robust grasp of contemporary data modeling techniques, data architecture strategies, and the intricacies of data platform architecture.
  • A proven track record of effective cross-disciplinary collaboration, exhibiting the ability to meld technical prowess with business acumen.
  • Exceptional problem-solving aptitude, adept at navigating the fast-paced challenges inherent in a dynamic healthcare IT environment.
  • Stellar communication skills, capable of distilling complex technical data solutions into comprehensible insights for diverse audiences.

Education:

Bachelor's degree from an accredited university or equivalent work experience (HS diploma + 4 years relevant experience).

CVS Health Overview:

CVS Health is an affirmative action employer and an equal opportunity employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

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