Senior Data Engineer

Cardinal Health-posted 4 months ago

$121,600 - $173,700/Yr

Full-time • Senior

Dublin, OH

Merchant Wholesalers, Nondurable Goods

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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.

Lead the technical implementation of the SAP HANA and Google Cloud platforms (GCP), ensuring alignment with enterprise data architecture and strategy.
Serve as the primary technical advisor and SME for SAP HANA and Google Cloud Platforms 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 Google Cloud Platform.
Drive the adoption of the Data Modeling 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 Data Engineering and help build a high-performing team.

8-12 years of experience in Data and Analytics (SAP HANA Modelling, GCP BigQuery, Business Objects, Tableau)
1-2 years of experience with HANA S4, SAP Business Data Cloud(BDC), Databricks, preferred.
Bachelor's degree in related field, or equivalent work experience, preferred.
Proven experience implementing and scaling SAP HANA Platform in a complex enterprise environment.
Deep expertise in data engineering, analytics, and AI/ML using GCP, Databricks and related technologies, preferred.
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 solutions.
Excellent communication and interpersonal skills with the ability to influence and collaborate across all levels of the organization.
Experience working in a matrixed environment supporting multiple business units and projects.
SAP HANA/S4 certifications (e.g., Modelling, Certified Data Engineer, Solutions Architect), preferred.
Experience with CI/CD, DevOps for data, and data governance frameworks, preferred.
Familiarity with enterprise data strategy and data product thinking.

Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)
Short- and long-term disability coverage
Work-Life resources
Paid parental leave
Healthy lifestyle programs

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