Scientific Data Architect - Vienna, Austria

Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in cloud-based data management and AI have been struggling to keep up with our pace of innovation. Our team is comprised of passionate and talented individuals who are driven by a shared vision of making scientific data more accessible, usable, and valuable. We are looking for a talented and motivated Scientific Data Architect to join our team in Vienna, Austria. As a Scientific Data Architect, you will be responsible for designing and implementing data architectures that enable the efficient and effective management of large-scale scientific data sets. This includes developing data models, data pipelines, and data governance frameworks that support our scientific use cases and AI-enabled outcomes. You will work closely with our data scientists, engineers, and product managers to ensure that our data architectures are aligned with our business objectives and meet the needs of our customers. In this role, you will have the opportunity to work on a wide range of projects, from designing and implementing data architectures for our customers to developing new data products and services. You will also have the opportunity to collaborate with our global team of data architects, scientists, and engineers to share knowledge, best practices, and innovative ideas. If you are passionate about making scientific data more accessible, usable, and valuable, and you have a strong background in data architecture, data science, and AI, we encourage you to apply for this exciting opportunity. Requirements: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. 5+ years of experience in data architecture, data science, or a related field. Strong understanding of data modeling, data governance, and data pipelines. Experience with cloud-based data management and AI technologies. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work in a fast-paced environment and prioritize multiple projects and tasks. Certifications in data science, AI, or a related field are a plus. Benefits: Competitive salary and benefits package. Opportunity to work on a wide range of exciting projects. Collaborative and dynamic work environment. Professional development opportunities. Flexible working hours and remote work options.