Data Science Cloud Engineer

Korn Ferry; Saint Cloud (MN); On-site; USD 110,000 - 140,000; Full time

Job summary

Korn Ferry is seeking a motivated individual for a cloud engineering role in Saint Cloud, MN, focusing on data science platforms. The ideal candidate will have leadership experience in cloud infrastructure design and a strong background in Azure and DevOps.

Responsibilities include deploying cloud infrastructure, automating CI/CD pipelines, and ensuring network security. Candidates should possess a BSc+ in a relevant field and have at least 10 years of professional experience with proven leadership in technical projects.

Qualifications

• 10+ years professional experience, with success in project leadership roles.
• 5+ years in DevOps or SRE roles on Azure preferred.
• Relevant cloud certifications strongly preferred.

Responsibilities

• Design, deploy, and operate cloud infrastructure for data science.
• Support cloud-based data science tools and enable integrations.
• Automate CI/CD pipelines for platform and infrastructure.

Skills

Leadership in cloud-based platform designs

Cloud architecture design on Azure

Experience with Terraform

Proven CI/CD pipeline experience

Deep knowledge of Azure Networking

Experience with Azure Function Apps

Scripting language expertise (PowerShell/Bash)

Education

BSc+ in Engineering/Computer Science/IT

Tools

Terraform

GitHub

Azure Function Apps

Hashicorp Vault

Jira

Job description

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

Location: St Cloud, MN

Client Industry: Insurance