Cloud Data Platform Architect

3 weeks ago


Bengaluru, Karnataka, India ScaleneWorks Full time

Job Title: Principal Cloud Data Platform and Engineering Architect

About the Role:

We are seeking a highly skilled Principal Cloud Data Platform and Engineering Architect to join our team at ScaleneWorks. As a key member of our organization, you will be responsible for designing end-to-end cloud-based solutions for our data products and applications.

Key Responsibilities:

  • Design end-to-end data product architecture that encompasses storage, compute resources, front-end components, visualization components, virtual machines, and other cloud resources as needed.
  • Create blueprint and reference architectures for emerging technologies in Data and AI platforms.
  • Assess and strategize emerging technologies and their fitment into our overall 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.
  • Drive a culture of innovation, transparency, and trust.
  • Contribute to strategic roadmap for a technical domain.
  • Handle highly ambiguous situations.

Requirements:

  • Bachelor's degree in computer science, Information Systems, Engineering, or related field.
  • Total 10 to 12 years of experience in designing end-to-end solutions for cloud-based data analytics products and web applications in Agile software development.
  • 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:

  • 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.


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