Data Platform Responsible (100%) - Data Lakehouse

About the role

Julius Baer is looking for a Data Platform Responsible (100%, f/m/d) in Zurich. You will provide end-to-end technical leadership and lifecycle management of a global data platform (data lakehouse), working with Product Owners, Platform Owners, System Architects and IT Service Owners. The role combines hands-on technical oversight with supplier management, risk assessment, quality assurance and active involvement in agile delivery and incident support.

Key responsibilities

• Act as key technical stakeholder in the design of a global platform on modern infrastructure and lead its technical design, development and operational performance
• Take part in the agile setup and support the development team
• Contribute to the platform roadmap, including technology changes, modernisation and decommissioning
• Own deliverables such as Solution Design, Security Concept and Interface Agreements, and ensure adherence to architecture standards with the System Architect
• Plan and coordinate application releases according to change and release management, jointly deciding on production go-live with the Product Owner, Platform Owner and ITSOS
• Supervise infrastructure and data development, promote shift-left practices (automation, unit testing, CI/CD) and ensure functional and non-functional requirements are implemented
• Provide Level 3 support, act as master data custodian in JBAR and lead supplier management for third-party applications
• Estimate effort, advise on technical risks and mitigation, support budgeting and validate requirements before release
• Support the System Architect in managing technical debt and collaborate with support teams in Asia for extended support hours

Required profile

• At least 8 years of experience in data platforms, data lakes or data lakehouses (Kubernetes, Kafka, distributed storage such as S3/HDFS), preferably on-premise
• Several years of similar experience in the financial industry
• Experience leading the technical direction of data platforms and managing the full lifecycle from design through operation to retirement, including master data, incidents and releases
• Higher education in Computer Science (university, university of applied sciences or equivalent)
• Very strong communication, planning and coordination skills, proactive and customer-oriented
• Good English (written and spoken); German is an advantage

Required skills

• Kubernetes, Kafka, Docker, Harbor, CI/CD pipelines
• Distributed storage such as S3 and HDFS
• VM setup and scaling, K8s scaling, image builds and pushes via CI/CD