Verschicke keinen generischen Lebenslauf — erstelle einen Lebenslauf und ein Anschreiben, die genau auf diese Rolle zugeschnitten sind.
Sword Services seeks a Data Platform Manager to drive a major cloud data platform transformation in Vaud, Switzerland. You will lead Data Engineers, establish governance and ITSM practices, and optimize the data stack with Azure, Databricks, dbt, Fivetran, and Control-M.
You will collaborate with analytics, BI and integration teams to deliver end-to-end data services, monitor costs, and shape the long-term data strategy with coaching and knowledge transfer.
We are recruiting a Data Platform Manager to strengthen our client's IT and Data organization based in the canton of Vaud, Switzerland. This role is part of a major cloud data platform transformation initiative aimed at industrializing data services, improving operational reliability, strengthening governance, and accelerating the adoption of modern data practices across the organization.
Lead and coordinate a team of Data Engineers, ensuring efficient planning, prioritization, and delivery of data initiatives.
Drive the industrialization of the Cloud Data Platform by implementing standards, best practices, documentation, and operational processes.
Establish and improve IT service management practices, including incident, change, problem, and request management.
Oversee and guide the evolution of the data technology stack, including Azure, Databricks, dbt, Fivetran, and Control-M.
Monitor platform costs and consumption, providing forecasts, optimization recommendations, and budget reporting.
Collaborate closely with Integration, Analytics, and BI teams to ensure seamless end-to-end data flows and service delivery.
Define governance models, service catalogues, KPIs, and operational frameworks to enhance platform adoption and efficiency.
Contribute to the long-term data strategy through roadmap definition, knowledge transfer, coaching, and continuous improvement initiatives.
Proven experience managing enterprise Data Platforms and coordinating Data Engineering teams.
Strong understanding of the Azure ecosystem, including Cloud services, security, identity, networking, monitoring, and cost management.
Solid knowledge of Databricks and its production use cases, including jobs, notebooks, orchestration, Delta patterns, performance, and operational support.
Strong expertise in dbt, data transformation processes, data modelling, testing, documentation, and DataOps practices.
Hands-on experience with Fivetran and Control-M, particularly connector management, monitoring, orchestration, dependency management, and production tracking.
Proven experience in IT service management and managed services, with ITIL v4 Foundation certification or equivalent practical experience.
Ability to manage budgets, analyze Cloud consumption, develop forecasts, and identify cost optimization opportunities.
Excellent communication skills in both French and English, with the ability to interact effectively with technical teams, IT management, business stakeholders, and external providers.