Address
Form of workDescription
Responsibilities
Possess deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform) and leverage it across Cardinal Health's large, complex and diverse landscape.
Analyze performance and scalability characteristics to identify bottlenecks in large-scale distributed systems
Perform root cause analysis of performance issues identified by internal testing and from customers and suggest corrective actions
Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs)
expert at designing as well as developing all layers of an application and platform
Leads the development of technology transitions or architecture evolutions by creating foundational examples of working solutions and coaches' teams on how to build on those examples
Engage early in project efforts to analyze current solutions, provide solution options and recommendations, understand business process impact, provide accurate estimates.
Design and Architect applications across multiple domains including Data Engineering, Data Science, Data Viz and App development.
Demonstrates deep understanding of business processes and technology building blocks
Lead collaboration with project teams, application, data, integration, infrastructure, and security enterprise architects to develop and deploy comprehensive solution architectures
Ensure projects are delivered in-line with design, roadmap and to the defined standards and best practices.
Is skilled as a Data Architect who can design end-to-end data driven solutions
Influences adoption working IT, Business and Architecture groups
Creates design considering data sources & dependencies, development landscape, deployment landscape.
Generate ideas and suggestions for process and technical improvements for platforms and processes supported by the team
Architect the GCP data platform to meet the non-functional requirements of the consumptions layer and solutions built on top of the data platform.
Identify potential performance and availability challenges proactively, implement recommendations, and ensure that the systems' capacity and availability exceed requirements while ensuring the platform achieves business results.
Partner with solution architects, data engineers, platform engineers and other team roles to assess the platform's needs, help design new capabilities, establish architectural roadmaps, design and run tests/proof-of-concepts, help troubleshoot problems, identify risks, and make recommendations.
Comfortable with communication across all levels of department and create artifacts to clearly deliver the message.
Qualifications
10+ Experience on large-scale implementation programs preferred.
Advanced experience with data platforms including GCP, Teradata and SAP HANA.
Expert in SQL, Data Engineering, Data pipelines, Data Visualization and Data Science
Experience with cloud computing including knowledge of Google Cloud Platform (GCP) and Amazon Web Services (AWS) platform is preferred.
Proven ability to manage multiple tasks, respond quickly to emergent problems, and to focus both on long-range projects and immediate tasks required to maintain system functionality.
Experience with designing, developing, and deploying Machine Learning models.
Demonstrated expertise of database design and modeling.
Expert knowledge of BI Reporting and Data Discovery tools.
Experience with business-critical applications.
Responsibilities
Possess deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform) and leverage it across Cardinal Health's large, complex and diverse landscape.
Analyze performance and scalability characteristics to identify bottlenecks in large-scale distributed systems
Perform root cause analysis of performance issues identified by internal testing and from customers and suggest corrective actions
Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs)
expert at designing as well as developing all layers of an application and platform
Leads the development of technology transitions or architecture evolutions by creating foundational examples of working solutions and coaches' teams on how to build on those examples
Engage early in project efforts to analyze current solutions, provide solution options and recommendations, understand business process impact, provide accurate estimates.
Design and Architect applications across multiple domains including Data Engineering, Data Science, Data Viz and App development.
Demonstrates deep understanding of business processes and technology building blocks
Lead collaboration with project teams, application, data, integration, infrastructure, and security enterprise architects to develop and deploy comprehensive solution architectures
Ensure projects are delivered in-line with design, roadmap and to the defined standards and best practices.
Is skilled as a Data Architect who can design end-to-end data driven solutions
Influences adoption working IT, Business and Architecture groups
Creates design considering data sources & dependencies, development landscape, deployment landscape.
Generate ideas and suggestions for process and technical improvements for platforms and processes supported by the team
Architect the GCP data platform to meet the non-functional requirements of the consumptions layer and solutions built on top of the data platform.
Identify potential performance and availability challenges proactively, implement recommendations, and ensure that the systems' capacity and availability exceed requirements while ensuring the platform achieves business results.
Partner with solution architects, data engineers, platform engineers and other team roles to assess the platform's needs, help design new capabilities, establish architectural roadmaps, design and run tests/proof-of-concepts, help troubleshoot problems, identify risks, and make recommendations.
Comfortable with communication across all levels of department and create artifacts to clearly deliver the message.
Qualifications
10+ Experience on large-scale implementation programs preferred.
Advanced experience with data platforms including GCP, Teradata and SAP HANA.
Expert in SQL, Data Engineering, Data pipelines, Data Visualization and Data Science
Experience with cloud computing including knowledge of Google Cloud Platform (GCP) and Amazon Web Services (AWS) platform is preferred.
Proven ability to manage multiple tasks, respond quickly to emergent problems, and to focus both on long-range projects and immediate tasks required to maintain system functionality.
Experience with designing, developing, and deploying Machine Learning models.
Demonstrated expertise of database design and modeling.
Expert knowledge of BI Reporting and Data Discovery tools.
Experience with business-critical applications.
