Digital Cloud Architect

Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics.

At Qnity, we’re more than a global leader in materials and solutions for advanced electronics and high-tech industries – we’re a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.

Qnity is accepting applications for a full-time Cloud Architect based at our Chestnut Run Plaza campus in Wilmington, Delaware, USA, supporting the Electronics organization. This is an opportunity to shape the Azure architecture and delivery standards on which Qnity’s analytics and Generative AI capabilities are built.

Qnity is a market leader in specialty materials for electronic devices and microchip fabrication. The Cloud Architect partners with data science, data engineering, and application teams to design, secure, and govern the Azure platform they depend on and reports into the Digital Architecture group.

Key Responsibilities

• Platform architecture: Own the Azure landing zone, secure Data Lake design, and development, test, and production environment layout.
• Infrastructure as Code: Build reusable Terraform modules that provision Generative AI, Databricks, and App Services workloads.
• CI/CD and release governance: Own the Azure DevOps pipeline architecture, Git branching model, and pull request standards for application and platform deployments.
• Generative AI: Architect and productionize agentic retrieval-augmented generation solutions using Azure AI Foundry and Azure OpenAI.
• Lakehouse governance: Lead the Databricks Unity Catalog design and rollout across workspaces, including fine-grained access control and cluster policies.
• Data integration: Establish the pipeline architecture across Databricks and Azure Data Factory and define how curated data reaches Power BI.
• Application and API platform: Define deployment patterns for containerized and PaaS workloads exposed through Azure API Management.
• Identity and network security: Establish patterns for Entra ID, Key Vault, private endpoints, and network isolation across platform and data workloads.
• Migration and portfolio governance: Provide architecture leadership for the non-ERP transition services exit and maintain application portfolio records through go-live.
• Standards and enablement: Document reference patterns, guide solutions through architecture and security review, and coach teams in adopting these standards.

Qualifications

Required

• A bachelor’s degree or higher in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a closely related field.
• At least one year of experience designing and operating production Azure workloads, including architecture ownership of enterprise platform and data workloads.
• Proven delivery of Infrastructure as Code using Terraform and production CI/CD pipelines in Azure DevOps.
• Direct experience leading a Unity Catalog implementation across multiple Databricks workspaces, with centralized governance and fine-grained access control.
• Proven experience productionizing an agentic retrieval-augmented generation solution using Azure AI Foundry and Azure OpenAI.
• Fluency in Python and PowerShell, with the ability to prototype the patterns you design.
• Ability to build consensus across architecture, security, and engineering functions and guide standards through formal review.
• Eligibility to work on site at Qnity’s Chestnut Run Plaza campus in Wilmington, Delaware, USA.

Preferred

• Azure platform and DevOps delivery experience within specialty materials, electronics, or comparable regulated manufacturing.
• Experience in a large-scale separation, carve-out, or transition services exit program.
• Hands-on administration of an enterprise architecture repository such as SAP LeanIX.
• A master’s degree in business analytics, information systems, or a closely related technical field.

Technology Environment

• Azure platform and security: Management groups, Azure Policy, RBAC, landing zones, Azure Monitor, Entra ID, Key Vault, virtual networks, and private endpoints.
• Data and AI: Data Lake Storage Gen2, Databricks, Unity Catalog, Delta Lake, Data Factory, Azure SQL, Power BI, Azure AI Foundry, Azure OpenAI, and Azure AI Search.
• Compute and integration: App Services, Functions, Container Apps, Kubernetes, Docker, and API Management.
• DevOps and languages: Azure DevOps Boards, Repos, and Pipelines; YAML, Git, Terraform, and ARM templates; Python, PowerShell, Bash, SQL, REST APIs, and Azure CLI.

Living the Qnity Values

At Qnity, success is measured not only by what we achieve, but also by how we achieve it.

• Customer: Partner with stakeholders to understand needs, solve business challenges, and deliver meaningful outcomes.
• Innovation: Continuously improve processes, technologies, and ways of working.
• Speed: Act with urgency, focus, and precision to move work forward and deliver results.
• People: Build trusted relationships, collaborate across teams, and inspire positive change.

Join our Talent Community to stay connected with us!

Qnity is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit ourAccessibility Page for Contact Information.

Qnity offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.

We use Artificial Intelligence (AI) to enhance our recruitment process.