Data Platform and Operations Engineer - GF Machining Solutions Management SA
Role details
Job location
Tech stack
Job description
Join UNITED MACHINING, a top machine tool manufacturer, to enhance data operations. Enjoy a collaborative work environment that promotes growth and innovation., Guarantee platform stability, cost efficiency, security, and performance while enabling new data capabilities, automation, and services that support enterprise wide data transformation.
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Provide continuous operational excellence, documentation, and knowledge redundancy to ensure resilient, scalable, and compliant data operations across the organization.
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Data cloud ops: develop and maintain tools supporting data operations efficiency, including version control, CI/CD pipelines, and automation frameworks.
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Operational support & reliability: maintain platform availability, performance, cost efficiency, and security, including monitoring, optimization, and incident response. ensure observability and support coverage are in place.
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Governance, standards & compliance: implement and enforce UM cloud governance, data security, and operational guardrails; ensure adherence to global standards; manage exceptions with remediation timelines; apply required infrastructure changes defined by the UM architecture board.
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Readiness & cutover control: define technical readiness criteria; validate monitoring, access, deployment, and documentation before go-live; coordinate source-system switchovers; chair go/no-go checkpoints.
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Platform migration orchestration: lead the migration of the UM global data platform infrastructure to the new UM tenant, including provisioning of on-prem/cloud services, DevOps repository migration, workflow transfer, user access enablement, and system/network integrations. Your profile
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Deep understanding of data platform architectures, integration workflows, and operational support models.
Requirements
- Experience in managing large-scale cloud infrastructures and data workflows.
- Strong skills in automation, CI/CD pipelines, and DevOps practices.
- Ability to lead complex migrations and ensure adherence to security standards., Extensive experience managing and operating large-scale cloud and data platform infrastructures.
- Proven experience managing production-grade orchestration of data pipelines and ETL/ELT workflows.
- Strong skills in infrastructure-as-code, automation, CI/CD pipelines, and DevOps practices.
- Proven ability to lead complex data platform migrations, tenant carve-outs, and hybrid cloud integration projects.
- Collaborative mindset with the ability to provide knowledge redundancy and act as a backup for key data engineering functions.
- Solid understanding of enterprise architecture, security standards, and ICT operations constraints.
- Demonstrated capability to enforce governance, security controls, guardrails, and architectural standards.
