Corporate Sector - Lead Data Engineer

Join a team that builds secure, scalable data pipelines and platforms for collection, access and analytics.

As a Lead data Engineer, within the Corporate Sector you will lead architecture and engineering for scalable backup, recovery, immutable-data protection, and recovery-assurance services across data platforms and storage tiers and deliver data collection, storage, access, and analytics platform solutions in a secure, stable, scalable way, with clear SLOs/SLAs and operational readiness gates.

Job Responsibilities

Observability (Dashboards: Grafana, Dynatrace, Tableau):

• Design, build, and maintain role-based observability dashboards for data platforms and backup/recovery services using Grafana, Dynatrace, and Tableau, providing real-time and historical visibility into platform health, performance, and risk posture.
• Define and govern dashboard standards and operating model (golden dashboards, drill-down paths, naming/tagging conventions, ownership, and lifecycle management) to drive consistent adoption across Engineering, SRE, Operations, and Risk.
• Ensure end-to-end instrumentation and telemetry quality so dashboards surface actionable signals (availability, latency, throughput, error rates, saturation) and platform KPIs (job success/failure, lag/backlog, data freshness, restore success, retention coverage).
• Establish and publish SLIs/SLOs and operational health KPIs; translate these into Grafana/Dynatrace visualizations and Tableau reporting for executive and governance stakeholders.

Data Architecture, Modeling, and Governance:

• Generate and govern data models using firmwide tooling; apply linear algebra, statistical, and geometric algorithms where relevant for modeling and optimization.
• Own and continuously improve the strategy for database backup, recovery, archiving, retention, and restore testing across relational and NoSQL estates.

Platform Engineering & Automation:

• Drive an automation-first, API-led, self-service approach that reduces operational toil and improves resilience and customer experience.
• Build cloud-native capabilities using AWS services, infrastructure as code, CI/CD, and modern software engineering practices.

Reliability Engineering (SRE) & Operational Excellence:

• Embed SRE principles by defining and tracking reliability metrics (SLIs/SLOs), implementing observability standards, leading incident learning, and maintaining and .