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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.
Job Responsibility:
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
Requirements:
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
Nice to have:
Familiarity with lakehouse concepts, analytics workflows, or modernization-focused transformation initiatives is preferred