Senior DevOps / Data Platform SME
<p>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.</p><p>This is a hands‑on, architecture‑led engagement focused on platform enablement, reliability, and long‑term operational sustainability.</p><p>Key responsibilities</p><ul><li>Assess the current data and analytics environment and identify architectural, tooling, and operational gaps</li><li>Design a scalable cloud‑based data platform architecture (data lake / lakehouse patterns) aligned to future ERP and analytics needs</li><li>Recommend and implement DevOps tooling including CI/CD, infrastructure‑as‑code, monitoring, and environment management</li><li>Build and harden data ingestion pipelines supporting batch and near‑real‑time integrations from ERP, SaaS, and third‑party data sources</li><li>Establish platform security, identity, access controls, and key management in partnership with security stakeholders</li><li>Define data platform operating standards including deployment patterns, error handling, and observability</li><li>Support ERP data integration efforts and analytics readiness leading up to and following ERP go‑live</li><li>Partner closely with data engineers, analytics teams, and external vendors to enable downstream consumption</li><li>Produce documentation, runbooks, and knowledge transfer materials to support long‑term internal ownership</li></ul><p>Interested candidates should submit resumes to sally.lander@roberthalf(.com).</p>
• Extensive experience in DevOps or cloud platform engineering within data-heavy environments.<br>• Strong background designing and operating cloud-based data platforms, including experience with Azure and modern analytics ecosystems.<br>• Hands-on expertise with data ingestion frameworks, integration tooling, and pipeline orchestration.<br>• Proven ability to build and maintain CI/CD pipelines, infrastructure-as-code solutions, and automated environment management.<br>• Experience applying cloud security, identity governance, and access control best practices across enterprise platforms.<br>• Ability to guide architecture discussions and convert business objectives into practical technical designs.<br>• Experience supporting integrations with enterprise systems and software-as-a-service platforms.<br>• Familiarity with lakehouse concepts, analytics workflows, or modernization-focused transformation initiatives is preferred.
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- Minneapolis, MN
- onsite
- Temporary / Contract
-
80 - 94 USD / Hourly
- <p>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.</p><p>This is a hands‑on, architecture‑led engagement focused on platform enablement, reliability, and long‑term operational sustainability.</p><p>Key responsibilities</p><ul><li>Assess the current data and analytics environment and identify architectural, tooling, and operational gaps</li><li>Design a scalable cloud‑based data platform architecture (data lake / lakehouse patterns) aligned to future ERP and analytics needs</li><li>Recommend and implement DevOps tooling including CI/CD, infrastructure‑as‑code, monitoring, and environment management</li><li>Build and harden data ingestion pipelines supporting batch and near‑real‑time integrations from ERP, SaaS, and third‑party data sources</li><li>Establish platform security, identity, access controls, and key management in partnership with security stakeholders</li><li>Define data platform operating standards including deployment patterns, error handling, and observability</li><li>Support ERP data integration efforts and analytics readiness leading up to and following ERP go‑live</li><li>Partner closely with data engineers, analytics teams, and external vendors to enable downstream consumption</li><li>Produce documentation, runbooks, and knowledge transfer materials to support long‑term internal ownership</li></ul><p>Interested candidates should submit resumes to sally.lander@roberthalf(.com).</p>
- 2026-05-12T00:00:00Z