Senior Data Platform Engineer

<div class="content-intro"><div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; max-width: 100%; margin: 0 auto;"><iframe style="position: absolute; top: 0; left: 0; width: 100%; height: 100%;" src="https://www.youtube.com/embed/Bp2Bw5VlpBI?si=aF6cux2K4H_farsI" width="560" height="315"></iframe></div> <p data-pm-slice="1 1 []"> </p> <p data-pm-slice="1 1 []">On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.</p> <p>Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. <span style="color: rgb(67, 32, 97);">#LI-JB1</span></p> <p> </p></div><p>As a Senior Data Platform Engineer, you will be instrumental in driving the strategic evolution and design of our data platform investments and data pipelines, working in close partnership with Architects. You will provide technical leadership in identifying, monitoring, and driving initiatives that ensure our data platform (including core pipeline frameworks, warehousing, and ML Ops platform) remains scalable, reliable, and efficient amidst evolving product demands You will work closely with solution experts to identify missing platform functionality and areas for organizational optimization and lead new build or optimization initiatives. You will be adept in partnering with cross-functional partners and data users to translate needs into technical solutions and lead the technical scoping, implementation, and general execution of improvements to our solutions and platform. You will be data curious and excited to impact the team and the company and improve the quality of healthcare operations.</p> <p> </p> <p><strong>Key Responsibilities</strong></p> <ul> <li>Lead scoping and execution of critical improvements to our data platform to maintain overall system health and improve data observability in lieu of changing product needs, and to optimize innovation velocity</li> <li>Support production ML Ops functionality and advance the quality of our core ML LLM platform capabilities</li> <li>Partner strategically with data science, analytics, and data engineering leads and Architects to gather feedback and drive the development of scalable platform solutions that unlock new features within the defined architectural framework.</li> </ul> <p> </p> <ul> <li>Provide expertise on the overall data engineering best practices, standards, architectural approaches and complex technical resolutions</li> <li>Support solution development; translate product / analytical vision into highly functional data pipelines supporting high quality highly trusted data products (incl. designing data structures, building and scheduling data transformation pipelines, improving transparency etc.).</li> </ul> <p> </p> <p><strong>Key Qualifications</strong></p> <ul> <li>Strong cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike</li> </ul> <ul> <li>4+ years of hands-on experience<strong> </strong>designing, building, and operating cloud-based, highly available, observable, and scalable data platforms utilizing large, diverse data sets in production to meet ambiguous business needs </li> <li>Excellence in quality data pipeline design, development, and optimization to create reliable, modular, secure data foundations for the organization's data delivery system from applications to ... (truncated, view full listing at source)