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Senior DevOps / Data Platform SME

Robert Half
locationMinneapolis, MN, USA
PublishedPublished: 6/14/2022
Technology
Full Time

Job Description

Job Description

We are seeking a senior DevOps professional to assess, design, and help implement a scalable cloud data platform that supports enterprise analytics and upcoming cloud ERP integration. This role will play a critical part in moving the organization from a limited data warehouse model to a modern data lake or lakehouse architecture with appropriate governance, security, and operational rigor.

This is a hands‑on, architecture‑led engagement focused on platform enablement, reliability, and long‑term operational sustainability.

Key responsibilities

  • Assess the current data and analytics environment and identify architectural, tooling, and operational gaps
  • Design a scalable cloud‑based data platform architecture (data lake / lakehouse patterns) aligned to future ERP and analytics needs
  • Recommend and implement DevOps tooling including CI/CD, infrastructure‑as‑code, monitoring, and environment management
  • Build and harden data ingestion pipelines supporting batch and near‑real‑time integrations from ERP, SaaS, and third‑party data sources
  • Establish platform security, identity, access controls, and key management in partnership with security stakeholders
  • Define data platform operating standards including deployment patterns, error handling, and observability
  • Support ERP data integration efforts and analytics readiness leading up to and following ERP go‑live
  • Partner closely with data engineers, analytics teams, and external vendors to enable downstream consumption
  • Produce documentation, runbooks, and knowledge transfer materials to support long‑term internal ownership

Interested candidates should submit resumes to sally.lander@roberthalf(.com).

• Extensive experience in DevOps or cloud platform engineering within data-heavy environments.
• Strong background designing and operating cloud-based data platforms, including experience with Azure and modern analytics ecosystems.
• Hands-on expertise with data ingestion frameworks, integration tooling, and pipeline orchestration.
• Proven ability to build and maintain CI/CD pipelines, infrastructure-as-code solutions, and automated environment management.
• Experience applying cloud security, identity governance, and access control best practices across enterprise platforms.
• Ability to guide architecture discussions and convert business objectives into practical technical designs.
• Experience supporting integrations with enterprise systems and software-as-a-service platforms.
• Familiarity with lakehouse concepts, analytics workflows, or modernization-focused transformation initiatives is preferred.

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