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Dotmatics, a Siemens company, is seeking a Cloud Data Analytics Engineer to support the Luma team. You will own the operational health, architecture intelligence, and cost optimization of cloud environments, AI usage, and customer data.
In this role, you will develop deep understanding of the organization's cloud infrastructure and connect architectural decisions to business outcomes. Key responsibilities include:
Cloud Data Architecture and Cost Intelligence: Develop and maintain comprehensive technical understanding of cloud architecture across major infrastructure components. Map relationships between architectural decisions and cost drivers, producing clear models that connect system behavior to spend. Identify cost anomalies, inefficiencies, and optimization opportunities across compute, storage, networking, and managed services. Build and maintain dashboards and reporting providing real-time visibility into cloud cost trends. Develop high-impact reporting and analytics for engineering and customer operations, scaling reporting through automation. Partner with internal stakeholders (Sales, Product, Marketing, Finance) to increase understanding and visibility of business metrics, encouraging self-service analytics. Perform ad hoc data exploration and analysis to answer immediate business needs. Identify opportunities to improve data quality, performance, and observability. Help develop standards for analytics engineering best practices.
Technical Operations: Help define and enforce cloud governance policies including tagging standards, resource lifecycle management, and rightsizing practices. Partner with engineering teams to review architectural decisions for cost impact before and after deployment. Maintain runbooks and documentation for operational data management processes.
Stakeholder Collaboration: Serve as primary point of contact for cloud cost and operations questions from engineering, finance, and executive stakeholders. Translate complex technical findings into clear, business-oriented recommendations for non-technical audiences. Collaborate with engineering leadership on roadmap decisions with infrastructure and cost implications. Work cross-functionally on handoffs and alignment across shared operational responsibilities.
Dotmatics operates the world's largest cloud-based scientific research R&D platform, serving over 2 million scientists across 180 countries. The company is built by scientists, for scientists, with a mission to accelerate scientific innovation and discovery.
