Principal Observability Data Engineer
CVS Health
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.
**Position Summary**
CVS Health invites a seasoned and highly skilled Principal Observability Data Engineer to lead the development and management of a data architecture and related data model to support our observability data lake and associated data pipelines. This position will design and maintain the data model, drive platform and pipeline optimization for scalability and performance, and devise solutions for comprehensive insight across platforms. The solutions developed and maintained by this role will enable proactive issue identification, streamlined operational triage, effective capacity planning, and seamless access for AI/ML platforms that require the data. The ideal candidate for this role has experience establishing and enforcing processes and standards for data and platform/solutions governance, Experience with data integration, optimization, and performance tuning, Hands-on experience implementing data architectures and pipelines in cloud environments, Experience with big data technologies, Proficiency in data modeling, data architecture design, and data pipeline development, and Experience with AI/ML integration and data requirements for AI/ML platforms. This role will collaborate closely with our Observability Engineering, Operations and Governance leaders, Application owners, and Business stakeholders to identify requirements and provide solutions and insights, and with our AI/ML teams to develop cutting-edge IT Operations AI/ML use cases and solutions.
**Key Responsibilities**
**Data Architecture and Modeling:**
+ Lead the development and management of the data architecture and related data model for the observability data lake.
+ Design and maintain a scalable, efficient, and effective data model to support critical use cases.
**Platform and Pipeline Optimization:**
+ Drive platform and pipeline optimization to ensure scalability and performance.
+ Develop and implement solutions to provide comprehensive insights across platforms.
**Proactive Issue Identification:**
+ Enable proactive issue identification through the development of advanced observability solutions.
+ Support streamlined operational triage and effective capacity planning.
**AI/ML Integration:**
+ Ensure seamless access for AI/ML platforms that require observability data.
+ Collaborate with AI/ML teams to develop cutting-edge IT Operations AI/ML use cases and solutions.
**Collaboration and Requirements Gathering:**
+ Work closely with Observability Engineering, Operations and Governance leaders, Application owners, and Business stakeholders to identify requirements and provide solutions and insights.
+ Collaborate with AI/ML teams to understand their data needs, ensure the observability data architecture supports their requirements, and drive optimal use of the data within ML workloads.
**Documentation and Best Practices:**
+ Develop and maintain comprehensive documentation for data architecture, data models, and data pipelines.
+ Establish and enforce best practices for data management, governance, and security.
**Stakeholder Communication:**
+ Communicate effectively with stakeholders to provide updates on progress, challenges, and solutions.
+ Ensure transparency and alignment with business objectives.
**Required Qualifications**
+ 10+ years experience developing data architectures, data pipelines, and advanced data models at massive scale in complex ecosystems.
+ 6+ years experience designing, implementing, and managing data architectures for large-scale operational data lakes, including observability and/or cybersecurity data and use cases.
+ 6+ years crafting and maintaining high-volume data pipelines, with hands-on proficiency in industry-leading tools.
+ Extensive experience with data integration, optimization, and performance tuning.
+ Hands-on experience implementing data architectures and pipelines in cloud environments (e.g., AWS, Azure, GCP).
+ Experience with big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases.
+ Proficiency in data warehousing solutions and ETL processes.
+ Experience with observability tools and platforms (e.g., Splunk, Prometheus, Grafana).
+ Strong scripting and programming skills (e.g., Python, Java, SQL).
+ Strong understanding of observability and security data, IT and cyber operations, and monitoring tools.
+ Proficiency in data modeling, data architecture design, and data pipeline development.
+ Experience with AI/ML integration and data requirements for AI/ML platforms.
+ Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
+ Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
+ Ability to interact with and influence individuals at all levels of the organization, and adept at understanding what type of information is most effective for a given audience (e.g., executives, developers, architects, etc.)
+ Familiarity with DevOps practices and CI/CD pipelines.
+ Knowledge of data governance and security best practices.
**Preferred Qualifications**
+ Relevant certifications in data architecture, data modeling, or related fields are a plus (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate).
+ A Bachelor’s or Master’s degree in Computer Science, Information Systems, or an equivalent technical discipline, demonstrating a strong foundation in data architecture and systems.
**Education**
Bachelor degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience)
**BUSINESS OVERVIEW**
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. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. 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. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities
**Pay Range**
The typical pay range for this role is:
$144,200.00 - $288,400.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
For more detailed information on available benefits, please visit Benefits | CVS Health (https://jobs.cvshealth.com/us/en/benefits)
We anticipate the application window for this opening will close on: 11/30/2024
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We are an equal opportunity and affirmative action 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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