Data Science Cloud Engineer
We have partnered with our client in their search for a Data Scientist Cloud Engineer in St Cloud, MN.
Responsibilities
• Core Platform & Reliability Responsibilities
• Design, deploy, and operate cloud infrastructure supporting enterprise data science platforms and toolsets
• Develop and maintain Infrastructure as Code (IaC) to support data science, machine learning, analytics, and governance workloads
• Apply SRE principles to data science platforms, including availability, scalability, observability, incident response, and root-cause analysis
• Troubleshoot platform, infrastructure, and integration issues; implement preventive measures and reliability improvements
Data Science Platform Enablement
• Enable and support cloud-based data science tools such as Databricks, Azure Machine Learning, Purview, Unity Catalog, Function Apps, and visualization platforms
• Translate requirements from data scientists, ML engineers, and analysts into effective cloud and platform designs
• Apply engineering rigor to machine learning and analytics workflows, including CI/CD, automation, environment standardization, and testing
• Support metadata management, lineage, and governance capabilities through cataloging and policy-driven controls
Interoperability & Integration
• Design and support interoperability between the data science platform and other enterprise systems, including upstream data sources and downstream consumer applications
• Connect platforms to external systems and data warehouses using APIs, event-driven patterns, and JDBC/ODBC connectors
• Collaborate with application, data engineering, security, and infrastructure teams to align architectures and integration patterns
Cloud Engineering & Automation
• Design and automate CI/CD pipelines for platform and infrastructure deployments
• Consult on architectural decisions involving serverless computing, containerized workloads, and platform services
• Evangelize best practices for cloud architecture, reliability, security, and operational maturity
• Perform performance testing and tuning to ensure production workloads are supported
Security, Governance & Operations
• Implement defensive, detective, and corrective security controls across platform services
• Assist with the development and implementation of information security, access control, and compliance practices
• Improve standardization and automation across maturing development and operational processes
• Produce and maintain clear technical documentation for both technical and non-technical audiences
Skills Required
• * Leadership in cloud-based platform or infrastructure designs supporting analytics or data science workloads
• Proven ability to partner across disciplines to solve complex business and technical problems.
• Cloud architecture design and implementation experience on Azure
• Experience with Terraform
• Experience with GitHub and CI/CD pipelines
• Deep knowledge of Azure Networking including private endpoints, private DNS zones, peerings, NSG rules, and routing
• Experience with Azure Function Apps
• Knowledge of IaaS in Azure
• Understanding of Microsoft Entra ID, including RBAC, service principals, and managed identities
• Expertise in a scripting language, either PowerShell or Bash.
• Experience implementing data virtualization technologies
• Experience managing cloud storage technologies (blob, table, file, queues, and services)
• Strong technologist with broad technical cloud knowledge
• Other Desirable Professional Experience and Skills
• Experience supporting Databricks, Azure Machine Learning, or similar data science platforms
Experience with Purview, Unity Catalog, or metadata governance tooling
Experience with data visualization platforms and analytics consumption layers
• Hashicorp Vault
• Jira or similar development management systems
Education & Work Experience
• * 10+ years professional experience, including demonstrable success in project leadership roles
• 5+ years professional experience in DevOps or SRE roles on a major cloud platform (Azure preferred)
• BSc+ in Engineering/Computer Science/IT (advanced degree preferred)
• Relevant cloud certifications strongly preferred
Title Data Science Cloud Engineer / SRE
Location St Cloud, MN
Client Industry Insurance
About Korn Ferry
Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at www.Kornferry.com
Responsibilities
• Core Platform & Reliability Responsibilities
• Design, deploy, and operate cloud infrastructure supporting enterprise data science platforms and toolsets
• Develop and maintain Infrastructure as Code (IaC) to support data science, machine learning, analytics, and governance workloads
• Apply SRE principles to data science platforms, including availability, scalability, observability, incident response, and root-cause analysis
• Troubleshoot platform, infrastructure, and integration issues; implement preventive measures and reliability improvements
Data Science Platform Enablement
• Enable and support cloud-based data science tools such as Databricks, Azure Machine Learning, Purview, Unity Catalog, Function Apps, and visualization platforms
• Translate requirements from data scientists, ML engineers, and analysts into effective cloud and platform designs
• Apply engineering rigor to machine learning and analytics workflows, including CI/CD, automation, environment standardization, and testing
• Support metadata management, lineage, and governance capabilities through cataloging and policy-driven controls
Interoperability & Integration
• Design and support interoperability between the data science platform and other enterprise systems, including upstream data sources and downstream consumer applications
• Connect platforms to external systems and data warehouses using APIs, event-driven patterns, and JDBC/ODBC connectors
• Collaborate with application, data engineering, security, and infrastructure teams to align architectures and integration patterns
Cloud Engineering & Automation
• Design and automate CI/CD pipelines for platform and infrastructure deployments
• Consult on architectural decisions involving serverless computing, containerized workloads, and platform services
• Evangelize best practices for cloud architecture, reliability, security, and operational maturity
• Perform performance testing and tuning to ensure production workloads are supported
Security, Governance & Operations
• Implement defensive, detective, and corrective security controls across platform services
• Assist with the development and implementation of information security, access control, and compliance practices
• Improve standardization and automation across maturing development and operational processes
• Produce and maintain clear technical documentation for both technical and non-technical audiences
Skills Required
• * Leadership in cloud-based platform or infrastructure designs supporting analytics or data science workloads
• Proven ability to partner across disciplines to solve complex business and technical problems.
• Cloud architecture design and implementation experience on Azure
• Experience with Terraform
• Experience with GitHub and CI/CD pipelines
• Deep knowledge of Azure Networking including private endpoints, private DNS zones, peerings, NSG rules, and routing
• Experience with Azure Function Apps
• Knowledge of IaaS in Azure
• Understanding of Microsoft Entra ID, including RBAC, service principals, and managed identities
• Expertise in a scripting language, either PowerShell or Bash.
• Experience implementing data virtualization technologies
• Experience managing cloud storage technologies (blob, table, file, queues, and services)
• Strong technologist with broad technical cloud knowledge
• Other Desirable Professional Experience and Skills
• Experience supporting Databricks, Azure Machine Learning, or similar data science platforms
Experience with Purview, Unity Catalog, or metadata governance tooling
Experience with data visualization platforms and analytics consumption layers
• Hashicorp Vault
• Jira or similar development management systems
Education & Work Experience
• * 10+ years professional experience, including demonstrable success in project leadership roles
• 5+ years professional experience in DevOps or SRE roles on a major cloud platform (Azure preferred)
• BSc+ in Engineering/Computer Science/IT (advanced degree preferred)
• Relevant cloud certifications strongly preferred
Title Data Science Cloud Engineer / SRE
Location St Cloud, MN
Client Industry Insurance
About Korn Ferry
Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at www.Kornferry.com