Data Platform and Operations Engineer

Guarantee platform stability, cost efficiency, security, and performance while enabling new data capabilities, automation, and services that support enterprise wide data transformation.
Provide continuous operational excellence, documentation, and knowledge redundancy to ensure resilient, scalable, and compliant data operations across the organization.
Data cloud ops: develop and maintain tools supporting data operations efficiency, including version control, CI/CD pipelines, and automation frameworks.
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.
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.
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.
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.

Deep understanding of data platform architectures, integration workflows, and operational support models.
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.