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Field
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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communications and collaboration technology platforms. ·Guide cloud adoption for enterprise applications, academic technologies, research workloads, and collaboration platforms. Establish governance, security, and
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managing Data Loss Prevention (DLP) solutions like Microsoft Purview across cloud and on-premises environments, with a proven ability to lead DLP adoption by collaborating with business and technology teams
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adoption of AI development tools. Qualifications Core Requirements 5-10+ years software engineering with strong enterprise web application delivery Degree in Computer Science or equivalent practical
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computer science or a related field, supported by extensive experience leading enterprise-scale data platform environments. Demonstrate a proven track record in designing and implementing large-scale cloud platforms
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. Experience in project coordination and change management. (Preferred) Exposure to data analysis using Python, R, or Geographic Information System (GIS) tools, and/or cloud computing solutions. More Information
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strategic leadership and tactical oversight for the Faculty’s Digital Infrastructure (servers, networks, cloud platforms, and related services) and leads the Faculty’s Information Security and Risk Management
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, cloud computing, automation, and data-driven capabilities. Initiates proofs-of-concept (PoC), pilots, and prepares white papers and documentation of PoC results, recommendations, and operational support
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between cloud-based and on-premises data sources and destinations Proficient with computer applications and programs associated with the position (i.e., Microsoft Office suite and other collaboration tools
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the organization for advanced analytics, automation, and AI/ML adoption, without holding full enterprise-wide ownership reserved for the Principal Data Engineer. Responsibilities Leads Design and Optimization