What Data Engineering contributes to Cardinal Health
The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.
Data Engineering ensures raw data is usable and accessible for the organization. Data Engineering encompasses numerous specialties of data acquisition, integration, and provisioning.
Responsibilities
Lead the technical implementation of the Databricks platform, ensuring alignment with enterprise data architecture and strategy.Serve as the primary technical advisor and SME for Databricks across the organization.Collaborate with business and technology stakeholders to design scalable, secure, and high-performance data solutions.Guide and mentor application and project teams on best practices for data engineering, analytics, and AI/ML using Databricks.Drive the adoption of the Lakehouse architecture, integrating structured and unstructured data sources.Partner with data governance, security, and infrastructure teams to ensure compliance and operational excellence.Communicate complex technical concepts clearly and effectively to both technical and non-technical audiences, including executive leadership.Contribute to the development of a Databricks Center of Excellence and help build a high-performing team.Qualifications
8-12 years of experience in Data and Analytics, preferred1-2 years of experience with Databricks, preferredBachelor's degree in related field, or equivalent work experience, preferredProven experience implementing and scaling Databricks Lakehouse Platform in a complex enterprise environmentDeep expertise in data engineering, analytics, and AI/ML using Databricks, Spark, Delta Lake, and related technologies.Strong understanding of cloud platforms (Azure, AWS, or GCP) and data architecture principles.Demonstrated leadership in guiding cross-functional teams and delivering enterprise-scale data solutionsExcellent communication and interpersonal skills with the ability to influence and collaborate across all levels of the organizationExperience working in a matrixed environment supporting multiple business units and projectsDatabricks certifications (e.g., Databricks Certified Data Engineer, Solutions Architect), preferredExperience with CI/CD, DevOps for data, and data governance frameworks, preferredFamiliarity with enterprise data strategy and data product thinking, preferred
What is expected of you and others at this level
Anticipated salary range: $123,400 – 176,300
Bonus eligible: Yes
Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coveragePaid time off planHealth savings account (HSA)401k savings planAccess to wages before pay day with myFlexPayFlexible spending accounts (FSAs)Short- and long-term disability coverageWork-Life resourcesPaid parental leaveHealthy lifestyle programsApplication window anticipated to close: 10/1/2025 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.
Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.
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