Lead Engineer & Data Platform

• Owning the end-to-end architecture and evolution of the enterprise data platform across hybrid environments.
• Setting the technical direction: roadmap, standards and reusable patterns for orchestration, scheduling and data processing.
• Leading architectural decisions, proofs of concept and adoption plans focused on scalability, security and cost.
• Establishing reliability, observability and operational standards (monitoring, alerting, failure recovery, SLOs).
• Driving automation through infrastructure as code, CI/CD and automated testing.
• Staying hands-on: design and code reviews, mentoring, and championing a culture of engineering excellence.

• 12+ years of experience in data/platform engineering, designing and operating enterprise-scale data platforms.
• Deep, hands-on Snowflake expertise (architecture, ingestion, transformation, workload management, cost, governance).
• Production experience with Apache Airflow and Apache Kafka / event-driven architectures.
• Proven ability to integrate batch and streaming pipelines (Snowflake, Airflow, Kafka).
• Advanced Python and SQL; Java experience for Kafka-based services/connectors is a plus.
• Terraform, Git, CI/CD; OpenShift or Kubernetes experience is a plus.
• Experience in regulated environments: security, data quality, access management and compliance.
• Proven technical leadership: team direction, mentoring and communication with technical and business stakeholders.
• Fluent English, written and spoken.

If you’re passionate about building robust data platforms, leading with strong technical judgment, and making an impact in a global financial environment, we’d love to talk to you.

What if your next challenge meant leading the hybrid data platform of an internationally leading investment management firm, with a global presence and world-class teams?

At Q-tech, we’re hiring a Lead Engineer & Data Platform to join a data infrastructure team that provides the secure, scalable and trustworthy foundation for storing, processing and distributing critical enterprise data, across cloud and on-premises environments.

This isn’t just a technical role: it’s a leadership position with direct impact on architecture, engineering standards and the future of the platform.