Senior Director of Data Engineering

Company Description Medtech operates in the medical technology sector, focusing on innovative solutions that improve patient care and healthcare delivery. The organization leverages advanced data, software, and engineering capabilities to support clinical decision-making and operational efficiency. Medtech values collaboration between technology and healthcare professionals to create safe, reliable, and scalable products. Team members have the opportunity to work on impactful solutions that support providers, patients, and health systems. The company promotes a culture of continuous improvement, ethical practices, and quality-driven innovation.
Role Description The Senior Director of Data Engineering is a full-time remote role responsible for leading the data engineering function and setting the strategic direction for data platforms and pipelines. This position oversees the design, development, and maintenance of scalable data infrastructure that supports analytics, reporting, and product features across Medtech. Day-to-day responsibilities include managing and mentoring data engineering teams, collaborating with software engineering, product, and data science stakeholders, and driving best practices for data quality, security, and governance. The Senior Director will define technical roadmaps, prioritize projects, and ensure successful execution of complex integration initiatives. The role also involves optimizing performance, establishing standards and processes, and communicating progress and risks to senior leadership.
Qualifications
Strong Engineering Management and Team Leadership skills, with experience guiding high-performing data or software engineering teams.Proficiency in Software Development and Integration, including designing and implementing data pipelines, APIs, and distributed systems.Demonstrated Project Management capabilities, with a track record of delivering complex, cross-functional initiatives on time and within scope.Extensive experience with modern data engineering stacks (e.g., cloud data warehouses, ETL/ELT tools, streaming platforms) and data modeling.Deep understanding of data governance, security, quality assurance, and compliance within regulated or healthcare-related environments.Excellent communication and stakeholder management skills, with the ability to influence technical and non-technical partners.Ability to operate effectively in a remote, distributed environment, balancing strategic planning with hands-on guidance.Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field; experience in medical technology or healthcare is a plus.

Skills
Data Modeling, ETL, Project Management, Patient Care

Experience
10+ yrs

Work arrangement
Yes