Cloud Data Platform Architect and Technical Leader
1 week ago
**Job Overview**
ScaleneWorks is seeking a highly skilled Principal Cloud Data Platform and Engineering Architect to lead the design of end-to-end cloud-based (Azure) solution architecture for applications and data products within the Global Supply Chain Data & AI organization. This role involves collaborating with product managers, solution architects, data modelers, business intelligence developers, and data engineers from different teams to create innovative solutions.
Key Responsibilities:
- Designing end-to-end data product architecture that encompasses storage & compute resources, front-end components, visualization components, virtual machines, and other cloud resources as needed.
- Creating blueprint and reference architectures for emerging technologies in Data and AI platforms.
- Assessing and strategizing emerging technologies and their fitment into the overall GSC architecture landscape.
- Governing and reviewing data product architectures against defined standards and best practices.
- Automating platform architecture process, including platform provisioning automation for standard patterns.
- Collaborating with product and infrastructure platform teams to implement governance strategies and policies.
- Providing technical direction and expertise to architecture and engineering teams.
- Driving a culture of innovation, transparency, and trust.
- Contributing to the strategic roadmap for the technical domain.
- Handling 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 (Azure) 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.
**Estimated Salary:** $180,000 - $220,000 per year.
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