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Data Science Cloud Engineer

Job in Saint Cloud, Stearns County, Minnesota, 56398, USA
Listing for: Korn Ferry
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Data Engineering
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

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 Git Hub 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 , including RBAC, service principals, and managed identities
  • Expertise in a scripting language, either Power Shell 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 Dev Ops 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

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