Lead Data Platform Engineer, Qventus

• Demonstrated leadership experience (2+ years) guiding and mentoring data engineering teams in cross-functional collaborations with product managers and Architects
• Strong cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike
• 6+ years of hands-on experience 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
• 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 analytics & ML
• Experience building, designing, and/or developing on a diverse set of modern data architecture designs and their relative capabilities and use cases (ex. Data Lake, Lakehouse)

Desirable

• Qventus is seeking a highly motivated and experienced Lead Data Platform Engineer to spearhead the evolution and innovation of our next-generation data platform
• As a Lead 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
• 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
• Support production ML Ops functionality and advance the quality of our core ML & LLM platform capabilities
• 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
• Provide expertise on the overall data engineering best practices, standards, architectural approaches and complex technical resolutions
• 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.)