Lead Data Engineer

As a Lead Data Engineer, you operate as a technical orchestrator and a guardian of excellence across our real-time operational data ecosystem. You are positioned at the critical intersection of high-level requirement analysis, distributed systems design, and hands-on delivery.

You will balance deep data architecture with infrastructure architecture, bridging the gap between data pipelines and cloud-native container platforms.

Your time will be balanced across three core pillars:

40% High-Level Design & Architecture: Reviewing incoming business requirements, driving technical discussions, and mapping out scalable, distributed data architectures.

40% Hands-On Engineering: Writing clean, testable code alongside the team, implementing core platform features, building reusable components and undertaking support requests.

20% Mentorship & Technical Governance: Cultivating the engineering squad's capabilities, managing technical debt, and defining quality frameworks.

Key Responsibilities

Technical Orchestration: Translate complex business roadmaps into high-level designs, defining the structures, components, and interactions of event-driven streaming solutions.

Data & Infrastructure Architecture: Architect high-throughput, real-time data ingestion pipelines while partnering with DevOps specialists to ensure alignment with cloud infrastructure frameworks.

People Leadership & Mentoring: Oversee the technical growth and motivation of the engineering squad, running code reviews, sharing knowledge, and embedding engineering best practices.

Delivery Flow: Partner with the Engineering Manager and Product Managers to refine requirements into technical tasks, ensuring iterative delivery and a lean backlog.

Operational Excellence & SLA Management: Guard platform reliability against extreme traffic loads, establishing a proactive monitoring strategy via Grafana/Prometheus.

Escalation & Support: Participate in the team’s weekly support rotation as a high-level escalation point, leading Root Cause Analysis when critical operational challenges arise.