Sr Data Architect

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

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.
• Delivery of related information software solutions such as data warehouses and integration platforms.
• Agile development skills and experience.

They should be well versed in either AWS or GCP (his team uses GCP but AWS is also fine). They should have previous experience working in data lakes, doing data transformations, understand data models and best practices, help figure out what needs to be aligned across stakeholders, work with the platform, IT and business teams.

This role will be responsible for building data lakes across GCP. It will involve a lot of Machine Learning, Automation and Tableau. The data is all structured and it's all internal data (not from patients, pharmacists, etc).