Cloud Data Platform and Engineering Architect

1 week ago


Bengaluru, Karnataka, India ScaleneWorks Full time

Job Purpose:
As a Principal Cloud Data Platform and Engineering Architect at ScaleneWorks, you will be responsible for designing the end-to-end cloud-based (Azure) solution architecture of 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 cross-functional teams. You will play a key role in architecture review and governance, developing standard data architecture patterns and best practices, and optimizing the Azure platform and governance for Global Supply Chain, including leading several automation and platform governance initiatives.

Key Responsibilities:
Design end-to-end data product architecture encompassing storage & compute resources, front-end 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.
Assess and strategize for emerging technologies and their 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.
Collaborate with product and infrastructure platform teams to implement governance strategies and policies.
Provide product leadership, technical direction, and expertise to architecture and engineering teams composed of full-time employees, strategic partners, and software vendors.
Drive a culture of innovation, transparency, and trust.
Contribute to the strategic roadmap for a technical domain.
Handle highly ambiguous situations.

Basic Qualifications:
We are looking for professionals with strong problem-solving skills, along with the following skills to achieve our goals:
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
Total 10 to 12 years of experience in designing end-to-end solutions for cloud-based (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 platforms 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, and GDPR.
Project management experience, especially with Agile.
Knowledge and experience of building reusable components and frameworks.



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