• Be a data champion and seek to empower others to leverage the data to its full potential • Understand our complex data ecosystem • Work with the product team and stakeholders to translate business requirements for data across the company into a technical roadmap and architecture for the platform • Act as the leading data domain expert and owns platform data architecture • Lead the technical design and implementation of reliable, scalable, and efficient data infrastructure, data-driven products, and software solutions for external and internal customers • Provide technical leadership to define overall data engineering best practices, standards, and architectural approaches and drive technical excellence. Identify design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. • Create and maintain optimal data pipeline architecture with high observability and robust operational characteristics • Assemble large, complex data sets that meet functional / non-functional business requirements • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL • Work with stakeholders, including the Executive, Product, Clinical, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs. • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader