Senior Data Platform Operations Manager

Data Platform Operations Manager (VP)

Dublin - Permanent

Hybrid - Note: typically this role will be on site at the start and hybrid after.

In this hands-on role you are responsible for keeping the company's data platform running every day: pipelines, data warehouse, refreshes, monitoring, incidents, data quality controls, and the suppliers who support them. You will manage the platform and the suppliers who support it rather than a team, diagnose and fix problems, suggest solutions and review partners' work, not just report on them.

We want this person to take ownership and ensure the business has a robust , secure and healthy data platform aligned with best practice, with quick response times and updated reports.

The production environment is the Microsoft Azure stack: Microsoft Fabric, Azure SQL Managed Instance and Power BI, with Copilot and data agents in use.

Responsibilities

1. Be accountable for the data platform working every day: uptime, on-time refreshes and trusted data.
2. Act as the senior escalation point when something breaks, lead root-cause analysis, and own the permanent fix.
3. Run monitoring, alerting and automation across data and reporting pipelines, and meet agreed SLAs.
4. Move reporting towards real-time where possible, working with streaming and near-real-time pipelines.
5. Manage suppliers: the managed-service provider for front-line monitoring and the delivery partner on the Fabric and Purview platform.
6. Drive process improvement and continuous improvement: runbooks, SLAs and repeatable ways of working.
7. Embed data governance, quality and security controls, and keep the platform aligned with best-practice data architecture.

Experience

1. 6+ years in data engineering or data platform operations, with recent hands-on ownership of a production platform, ideally within financial services.
2. Strong hands-on experience across the Microsoft data stack: Microsoft Fabric, Azure SQL, ETL/ELT, data warehousing, data modelling and Power BI.
3. Experience of monitoring, alerting, incident management and data quality controls in a production environment.
4. Data governance experience and strong data security awareness.
5. Good data architecture knowledge, applied to keeping a platform robust and well designed.
6. Strong on process, with a track record of process improvement and continuous improvement.
7. Experience managing third-party and managed-service providers to SLA.
8. Working knowledge of DevOps or DataOps practices and automation. Exposure to Copilot, data agents or real-time data would be an advantage.

Note: typically this role will be on site at the start and hybrid after.

If interested, please send your details to Fergal Keys at [email protected]