Principal Cloud Data Platform And Engineering Architect
Principal Cloud Data Platform And Engineering Architect
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Job Description
Job Purpose:
As a Principal Cloud Data Platform and engineering Architect you will be responsible for designing the endtoend cloud based (Azure) solution architecture of the applications and data products within Global Supply Chain Data & AI organization. This includes collaborating with product managers product owners other solution architects data modelers business intelligence developers and data engineers from different data product and crossfunctional teams. You will play a key role in architecture review and governance and develop standard data architecture patterns and best practices optimize the Azure platform and governance for Global supply chain including leading several automation and platform governance initiatives.
Key responsibilities:
Design endtoend data product architecture that would encompass storage & compute resources frontend components visualization components virtual machines and other cloud resources as needed for the solution.
Create Blueprint and reference architectures for emerging technologies in Data and AI platforms.
Assessment and strategy for emerging technologies and fitment into the overall GSC architecture landscape
Govern and review data product architectures against defined standards and best practices.
Automate platform architecture process including platform provisioning automation for standard patterns.
Collaboration with product and infrastructure platform teams to implement governance strategies and policies.
Providing product leadership technical direction and expertise to architecture and engineering teams composed of fulltime employees strategic partners and software vendors.
Driving a culture of innovation transparency and trust.
Contribute to strategic roadmap for a technical domain.
Handle highly ambiguous situations.
Basic Qualifications:
We are looking for professionals with strong problemsolving skills in addition to the following skills to achieve our goals:
Bachelor s degree in computer science Information Systems Engineering or related field
Total 10 to 12 years of experience in designing endtoend solutions for cloudbased (Azure) data analytics products and web applications in Agile software development with excellent verbal and written articulation skills.
Experience with organizing cloud resources applying governance policies and enforcing compliance requirements.
Good understanding of Azure Security Design and implementation
Understanding of Data and AI Reference Architecture and Azure Well Architected Framework
Considerable experience in designing development testing and deployments of complex data pipelines in modern data platform using ADLS Gen2 Databricks Spark Python Azure Data Factory for data ingestion data integration and data consumption.
Azure administration and DevOps for CI/CD.
Understanding and experience in MLOps
Preferred Qualifications:
If you have the following qualifications it would be a plus:
Azure Data Engineer certification.
Pharma manufacturing industry experience and exposure to factory data integration.
Experience on regulated systems including GxP SoX HIPAA & GDPR
Project management experience especially with Agile.
Knowledge and experience of building reusable components and frameworks
Remote Work :
No
Employment Type
Full Time
