Remote · Mexico only · Full-time · 3 month project with high chance of extension

We’re looking for a Senior Data Engineer to join a Digital Operations team supporting enterprise-scale Azure Data & Analytics platforms .

This role is focused on production support, platform reliability, incident management, monitoring, and continuous improvement . You’ll work across engineering, business, and support teams to keep critical data services stable, reliable, and performant while meeting business SLAs.

Responsibilities

- Provide L2/L3 production support for Azure-based data and analytics platforms.
- Investigate and resolve production incidents, critical defects, pipeline failures, and performance issues.
- Monitor data pipelines, workflows, platform health, and performance using Azure monitoring tools .
- Perform Root Cause Analysis (RCA) and implement corrective and preventive actions.
- Ensure reliable execution of critical end-to-end data workflows and business processes.
- Support incident response, major incident management, and on-call activities when required.
- Identify recurring issues and drive improvements to reduce incidents and improve platform stability.
- Collaborate with data engineers, platform teams, product teams, and business stakeholders to resolve operational issues.
- Maintain operational documentation, runbooks, incident reports, and knowledge repositories.
- Communicate incident status, impact, resolution, and follow-up actions clearly to stakeholders.
- Contribute to operational standards and best practices around reliability, observability,



and service management.

Requirements

- 5+ years of experience in Data Engineering or related data platform roles.
- Strong hands‑on experience supporting Azure data platforms in production environments .
- Hands‑on experience with:
- Azure monitoring and observability tools
- Proven experience providing L2/L3 production support for data platforms.
- Experience troubleshooting pipeline failures, data issues, performance problems, and production incidents.
- Strong experience performing Root Cause Analysis (RCA) and implementing permanent fixes.
- Experience working within SLAs, incident management, and operational processes .
- Strong communication and stakeholder management skills, including the ability to communicate technical issues to non‑technical stakeholders.
- Ability to work effectively across engineering, business, and support teams.
- Willingness to participate in on‑call or major incident support when required.

Nice to Have

- Experience with CI/CD and DevOps practices .
- Experience with Azure DevOps or similar tools.
- Experience developing operational runbooks and service documentation.
- Experience with monitoring, observability, alerting, and proactive platform health management.
- Experience supporting enterprise‑scale or business‑critical data platforms.

Location

Candidates must be based in Mexico.

- Competitive compensation paid in USD.
- 100% Remote.
- Paid Time Off: 12 PTO days per year.
- Local Holidays: All official holidays in your country.

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📌 Senior Data Engineer – Azure Data Operations (México)
🏢 Golabs Tech
📍 México